We've ranked the best technical books using expert recommendations, sales data, and millions of reader ratings. At Shortform, we know books. Our book guides are the best in the world. Learn why.
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1
The Pragmatic Programmer: From Journeyman to Master
Andrew Hunt and David Thomas
5.0
-- Ward Cunningham Straight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process--taking a requirement and producing working, maintainable code that delights its users. It covers topics ranging from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. Read this book, and youll learn how to *Fight software rot; *Avoid the trap of duplicating knowledge; *Write flexible, dynamic, and adaptable code; *Avoid programming by coincidence; *Bullet-proof your code with contracts, assertions, and exceptions; *Capture real requirements; *Test ruthlessly and effectively; *Delight your users; *Build teams of pragmatic programmers; and *Make your developments more precise with automation. Written as a series of self-contained sections and filled with entertaining anecdotes, thoughtful examples, and interesting analogies, The Pragmatic Programmer illustrates the best practices and major pitfalls of many different aspects of software development. Whether youre a new coder, an experienced programm
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Recommended by Jeff Atwood, Hadley Wickham, and 1 others.
This book is about the craft of software development, and thinking about how to produce good code. [source]
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Clean Code: A Handbook of Agile Software Craftsmanship
Robert C. Martin
5.0
Even bad code can function. But if code isn t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn t have to be that way. Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code on the fly into a book that will instill within you the values of a software craftsman and make you a better programmer but only if you work at it. What kind of work will you be doing? You ll be reading code lots of code. And you will be challenged to think about what s right about that code, and what s wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft. Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and smells gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code. Readers will come away from this book understanding
How to tell the difference between good and bad code How to write good code and how to transform bad code into good code How to create good names, good functions, good objects, and good classes How to format code for maximum readability How to implement complete error handling without obscuring code logic How to unit test and practice test-driven development This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code. "
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Recommended by Ana Bell.
Ana Bell
This book is going to show you how to write code that is readable by yourself in the future, or by somebody else. You can sit on the couch and read it; you don’t need to code. You can actually enjoy it if you don’t know how to program at all. [source]
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3
The Mythical Man-Month: Essays on Software Engineering
Few books on software project management have been as influential and timeless as The Mythical Man-Month. With a blend of software engineering facts and thought-provoking opinions, Fred Brooks offers insight for anyone managing complex projects. These essays draw from his experience as project manager for the IBM System/360 computer family and then for OS/360, its massive software system. Now, 20 years after the initial publication of his book, Brooks has revisited his original ideas and added new thoughts and advice, both for readers already familiar with his work and for readers discovering it for the first time.
The added chapters contain (1) a crisp condensation of all the propositions asserted in the original book, including Brooks' central argument in The Mythical Man-Month: that large programming projects suffer management problems different from small ones due to the division of labor; that the conceptual integrity of the product is therefore critical; and that it is difficult but possible to achieve this unity; (2) Brooks' view of these propositions a generation later; (3) a reprint of his classic 1986 paper "No Silver Bullet"; and (4) today's thoughts on the 1986 assertion, "There will be no silver bullet within ten years."
From "The Everything Store", written by Brad Stone “An influential computer scientist makes the counterintuitive argument that small groups of engineers are more effective than larger ones at handling complex software projects. The book lays out the theory behind Amazon’s two pizza teams,” Stone writes. [source]
An early look and experience with timeless truths (and gotchas) from systems building with teams [source]
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Code Complete
Steve McConnell
4.8
Widely considered one of the best practical guides to programming, Steve McConnell's original CODE COMPLETE has been helping developers write better software for more than a decade. Now this classic book has been fully updated and revised with leading-edge practices--and hundreds of new code samples--illustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking--and help you build the highest quality code. Discover the timeless techniques and strategies that help you:
Design for minimum complexity and maximum creativity Reap the benefits of collaborative development Apply defensive programming techniques to reduce and flush out errors Exploit opportunities to refactor--or evolve--code, and do it safely Use construction practices that are right-weight for your project Debug problems quickly and effectively Resolve critical construction issues early and correctly Build quality into the beginning, middle, and end of your project
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Recommended by Jeff Atwood, Ana Bell, and Santiago Basulto.
Ana Bell
Code Complete is for people working in industry, writing software for companies. It has little checklists at key points in the book; if you are in industry, you can make sure that your code is readable and debugged by going through these checklists and making sure you’re touching upon all aspects. [source]
Santiago Basulto
If my career path is hackers turned business people, I’d say: Start with the basics and fundamentals: SICP: Structure and Interpretation of Computer Programs Code Complete 2 [source]
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5
The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win
Bill is an IT manager at Parts Unlimited. It's Tuesday morning and on his drive into the office, Bill gets a call from the CEO.
The company's new IT initiative, code named Phoenix Project, is critical to the future of Parts Unlimited, but the project is massively over budget and very late. The CEO wants Bill to report directly to him and fix the mess in ninety days or else Bill's entire department will be outsourced.
With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited.
In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again.
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Recommended by Jeffrey Snover and Louis Nyffenegger.
Jeffrey Snover
Great thread. I know of a number of devops people that haven't read this book. Ya'll should fix that. https://t.co/Yri4JJ0jBZ [source]
Louis Nyffenegger
I don't think I have a specific book that I can call my favourite. Some books have had a big impact on my view of how to build a product/company ("Rework"), some were very enjoyable to read ("The Phoenix Project"), some helped me improve the way I think ("The Pleasure Of Finding Things Out") and some the way I live ("Essentialism") or work ("Deep Work"). [source]
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Design Patterns: Elements of Reusable Object-Oriented Software
Erich; Helm John Gamma
4.7
Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.
The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently.
Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.
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Structure and Interpretation of Computer Programs
Harold Abelson and Gerald Jay Sussman
4.7
Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.
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Recommended by Max Levchin, Bret Victor, Hadley Wickham, and 2 others.
Max Levchin
Co-founder/PayPal, CEO/Affirm, Investor
Easier to read than "The Art of Computer Programming" end-to-end quickly. [source]
The most valuable thing this book gives you is confidence and knowledge to go and create your own programming language. [source]
John Maeda
@jesseddy The best book in classical and “hands-on example” terms is Structure and Interpretation of Computer Programs — but it requires maybe a year to get thru and for me, 10 years more to marinate over. *A* book is the one I am finishing now to come out Nov 2019. https://t.co/OODjQXgf1I [source]
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Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability
Steve Krug
4.7
Since Don’t Make Me Think was first published in 2000, over 400,000 Web designers and developers have relied on Steve Krug’s guide to help them understand the principles of intuitive navigation and information design.
In this 3rd edition, Steve returns with fresh perspective to reexamine the principles that made Don’t Make Me Think a classic-–with updated examples and a new chapter on mobile usability. And it’s still short, profusely illustrated…and best of all–fun to read.
If you’ve read it before, you’ll rediscover what made Don’t Make Me Think so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites.
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Recommended by Brian Armstrong, Jeff Atwood, Ken Norton, and 13 others.
Anoop Anthony
Krug was teaching usability two decades ago when UX wasn't a buzzword, and the WWW was still in its nascent stages. (The first edition of this book was published in 2000!) I cut my teeth on Don't make me think back when I first started out in the industry. It is now in its third edition and still relevant — it offers compelling insights into building great user experiences into websites and applications. [source]
Auston Bunsen
I’m actually a self-taught programmer, so these books have really helped me with practical skills that I could put to use & yield results. The return on investment for these kinds of books is off the charts for me! [source]
Chris Goward
Here are some of the books that have been very impactful for me, or taught me a new way of thinking: … Don't Make Me Think. [source]
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The Clean Coder: A Code of Conduct for Professional Programmers
Programmers who endure and succeed amidst swirling uncertainty and nonstop pressure share a common attribute: They care deeply about the practice of creating software. They treat it as a craft. They are professionals. In The Clean Coder: A Code of Conduct for Professional Programmers, legendary software expert Robert C. Martin introduces the disciplines, techniques, tools, and practices of true software craftsmanship. This book is packed with practical advice-about everything from estimating and coding to refactoring and testing. It covers much more than technique: It is about attitude. Martin shows how to approach software development with honor, self-respect, and pride; work well and work clean; communicate and estimate faithfully; face difficult decisions with clarity and honesty; and understand that deep knowledge comes with a responsibility to act. Readers will learn What it means to behave as a true software craftsman How to deal with conflict, tight schedules, and unreasonable managers How to get into the flow of coding, and get past writer's block How to handle unrelenting pressure and avoid burnout How to combine enduring attitudes with new development paradigms How to manage your time, and avoid blind alleys, marshes, bogs, and swamps How to foster environments where programmers and teams can thrive When to say "No"-and how to say it When to say "Yes"-and what yes really means Great software is something to marvel at: powerful, elegant, functional, a pleasure to work with as both a developer and as a user. Great software isn't written by machines. It is written by professionals with an unshakable commitment to craftsmanship. The Clean Coder will help you become one of them-and earn the pride and fulfillment that they alone possess.
Even the smartest among us can feel inept as we fail to figure out which light switch or oven burner to turn on, or whether to push, pull, or slide a door. The fault, argues this ingenious—even liberating—book, lies not in ourselves, but in product design that ignores the needs of users and the principles of cognitive psychology. The problems range from ambiguous and hidden controls to arbitrary relationships between controls and functions, coupled with a lack of feedback or other assistance and unreasonable demands on memorization. The Design of Everyday Things shows that good, usable design is possible. The rules are simple: make things visible, exploit natural relationships that couple function and control, and make intelligent use of constraints. The goal: guide the user effortlessly to the right action on the right control at the right time.
In this entertaining and insightful analysis, cognitive scientist Don Norman hails excellence of design as the most important key to regaining the competitive edge in influencing consumer behavior. Now fully expanded and updated, with a new introduction by the author, The Design of Everyday Things is a powerful primer on how—and why—some products satisfy customers while others only frustrate them.
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Recommended by Andrew Chen, Marissa Mayer, Nir Eyal, and 23 others.
Grey Baker
I mainly read to decompress and change my state of mind, so it’s hard to point to an insight I read that helped me. Reading fiction has pulled me out of a bad mood more times than I can count, though, and always reenergises me to attack problems that had stumped me again. That said, I read and loved Norman Norman’s “The Design of Everyday Things”, and it’s helped me think through design problems ever since. [source]
Julia Enthoven
For people interested in designing or building software products: The Design of Everyday Things by Don Norman and The Lean Product Playbook by Dan Olsen. Both books have informed my product sense and helped me make decisions about great UX. [source]
Kaci Lambe
These three books are about how people actually use design in their lives. They helped me understand this very basic idea: There are no dumb users, only bad designers. Take the time to create based on how your design will be interacted with. Test it. Iterate. That's how you become a good designer. [source]
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Refactoring: Improving the Design of Existing Code
Martin Fowler
4.6
Fully Revised and Updated-Includes New Refactorings and Code Examples"Any fool can write code that a computer can understand. Good programmers write code that humans can understand." --M. Fowler (1999) For more than twenty years, experienced programmers worldwide have relied on Martin Fowler's Refactoring to improve the design of existing code and to enhance software maintainability, as well as to make existing code easier to understand. This eagerly awaited new edition has been fully updated to reflect crucial changes in the programming landscape. Refactoring, Second Edition, features an updated catalog of refactorings and includes JavaScript code examples, as well as new functional examples that demonstrate refactoring without classes. Like the original, this edition explains what refactoring is; why you should refactor; how to recognize code that needs refactoring; and how to actually do it successfully, no matter what language you use. Understand the process and general principles of refactoring Quickly apply useful refactorings to make a program easier to comprehend and change Recognize "bad smells" in code that signal opportunities to refactor Explore the refactorings, each with explanations, motivation, mechanics, and simple examples Build solid tests for your refactorings Recognize tradeoffs and obstacles to refactoring Includes free access to the canonical web edition, with even more refactoring resources. (See inside the book for details about how to access the web edition.)
This is next on my list of technical books to read! Refactoring is one of two programming books that I’ve read multiple times (the other is Smalltalk Best Practice Patterns), and I’m due for another reading. What perfect time then to dive into Martin Fowler’s long anticipated 2nd edition, now using JavaScript rather than Java for the code examples. Like the stoic books, I read Refactoring and that Smalltalk book again and again not because I’m going to learn something new, per se, but because I want to be reminded about what I already know. And what better time to reread than just as we’re kicking off a new major project that needs a fresh architectural foundation. Also, these two books just remind every time of how much I love the craft of programming. It’s not just having the programs, it’s not just solving problems, it’s simply using my hands and head to program that in and of itself is sublime. [source]
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Head First Design Patterns
Eric Freeman, Bert Bates, Kathy Sierra, Elisabeth Robson
4.6
You're not alone.
At any given moment, somewhere in the world someone struggles with the same software design problems you have. You know you don't want to reinvent the wheel (or worse, a flat tire), so you look to Design Patterns--the lessons learned by those who've faced the same problems. With Design Patterns, you get to take advantage of the best practices and experience of others, so that you can spend your time on...something else. Something more challenging. Something more complex. Something more fun.
You want to learn about the patterns that matter--why to use them, when to use them, how to use them (and when NOT to use them). But you don't just want to see how patterns look in a book, you want to know how they look "in the wild". In their native environment. In other words, in real world applications. You also want to learn how patterns are used in the Java API, and how to exploit Java's built-in pattern support in your own code.
You want to learn the real OO design principles and why everything your boss told you about inheritance might be wrong (and what to do instead). You want to learn how those principles will help the next time you're up a creek without a design pattern.
Most importantly, you want to learn the "secret language" of Design Patterns so that you can hold your own with your co-worker (and impress cocktail party guests) when he casually mentions his stunningly clever use of Command, Facade, Proxy, and Factory in between sips of a martini. You'll easily counter with your deep understanding of why Singleton isn't as simple as it sounds, how the Factory is so often misunderstood, or on the real relationship between Decorator, Facade and Adapter.
With Head First Design Patterns, you'll avoid the embarrassment of thinking Decorator is something from the "Trading Spaces" show. Best of all, in a way that won't put you to sleep! We think your time is too important (and too short) to spend it struggling with academic texts.
If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. Using the latest research in neurobiology, cognitive science, and learning theory, Head First Design Patterns will load patterns into your brain in a way that sticks. In a way that lets you put them to work immediately. In a way that makes you better at solving software design problems, and better at speaking the language of patterns with others on your team.
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Cracking the Coding Interview: 189 Programming Questions and Solutions
Gayle Laakmann McDowell
4.6
I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer.
Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book.
Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.
These interview questions are real; they are not pulled out of computer science textbooks. They reflect what's truly being asked at the top companies, so that you can be as prepared as possible. WHAT'S INSIDE? • 189 programming interview questions, ranging from the basics to the trickiest algorithm problems. • A walk-through of how to derive each solution, so that you can learn how to get there yourself. • Hints on how to solve each of the 189 questions, just like what you would get in a real interview. • Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen. • Extensive coverage of essential topics, such as big O time, data structures, and core algorithms. • A behind the scenes look at how top companies like Google and Facebook hire developers. • Techniques to prepare for and ace the soft side of the interview: behavioral questions. • For interviewers and companies: details on what makes a good interview question and hiring process.
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Designing Data-Intensive Applications
Martin Kleppmann
4.6
Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change.
Proven approaches such as service-oriented and event-driven architectures are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together.
Author Ben Stopford explains how service-based architectures and stream processing tools such as Apache Kafka® can help you build business-critical systems.
* Learn why streaming beats request-response based architectures in complex, contemporary use cases * Understand why replayable logs such as Kafka provide a backbone for both service communication and shared datasets * Explore how event collaboration and event sourcing patterns increase safety and recoverability with functional, event-driven approaches * Apply patterns including Event Sourcing and CQRS, and how to build multi-team systems with microservices and SOA using patterns such as “inside out databases” and “event streams as a source of truth” * Build service ecosystems that blend event-driven and request-driven interfaces using a replayable log and Kafka's Streams API * Scale beyond individual teams into larger, department- and company-sized architectures, using event streams as a source of truth
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Introduction To Algorithms
Thomas H. Cormen, Charles E. Leiserson, et al.
4.6
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JavaScript: The Good Parts
Douglas Crockford
4.5
Most programming languages contain good and bad parts, but JavaScript has more than its share of the bad, having been developed and released in a hurry before it could be refined. This authoritative book scrapes away these bad features to reveal a subset of JavaScript that's more reliable, readable, and maintainable than the language as a whole--a subset you can use to create truly extensible and efficient code.
Considered the JavaScript expert by many people in the development community, author Douglas Crockford identifies the abundance of good ideas that make JavaScript an outstanding object-oriented programming language-ideas such as functions, loose typing, dynamic objects, and an expressive object literal notation. Unfortunately, these good ideas are mixed in with bad and downright awful ideas, like a programming model based on global variables.
When Java applets failed, JavaScript became the language of the Web by default, making its popularity almost completely independent of its qualities as a programming language. In JavaScript: The Good Parts, Crockford finally digs through the steaming pile of good intentions and blunders to give you a detailed look at all the genuinely elegant parts of JavaScript, including:
Syntax Objects Functions Inheritance Arrays Regular expressions Methods Style Beautiful features The real beauty? As you move ahead with the subset of JavaScript that this book presents, you'll also sidestep the need to unlearn all the bad parts. Of course, if you want to find out more about the bad parts and how to use them badly, simply consult any other JavaScript book.
With JavaScript: The Good Parts, you'll discover a beautiful, elegant, lightweight and highly expressive language that lets you create effective code, whether you're managing object libraries or just trying to get Ajax to run fast. If you develop sites or applications for the Web, this book is an absolute must.
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Recommended by Auston Bunsen.
Auston Bunsen
I’m actually a self-taught programmer, so these books have really helped me with practical skills that I could put to use & yield results. The return on investment for these kinds of books is off the charts for me! [source]
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Effective Java
Joshua Bloch
4.5
Since this Jolt-award winning classic was last updated in 2008 (shortly after Java 6 was released), Java has changed dramatically. The principal enhancement in Java 8 was the addition of functional programming constructs to Java's object-oriented roots. Java 7, 8, and 9 also introduced language features, such as the try-with-resources statement, the diamond operator for generic types, default and static methods in interfaces, the @SafeVarargs annotation, and modules. New library features include pervasive use of functional interfaces and streams, the java.time package for manipulating dates and times, and numerous minor enhancements such as convenience factory methods for collections. In this new edition of Effective Java, Bloch updates the work to take advantage of these new language and library features, and provides specific best practices for their use. Java's increased support for multiple paradigms increases the need for best-practices advice, and this book delivers. As in previous editions, each chapter consists of several "items," each presented in the form of a short, standalone essay that provides specific advice, insight into Java platform subtleties, and updated code examples. The comprehensive descriptions and explanations for each item illuminate what to do, what not to do, and why. Coverage includes: Updated techniques and best practices on classic topics, including objects, classes, methods, libraries, and generics How to avoid the traps and pitfalls of commonly misunderstood subtleties of the platform Focus on the language and its most fundamental libraries, such as java.lang and java.util
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The C Programming Language
Brian W. Kernighan, Dennis M. Ritchie
4.5
This book is meant to help the reader learn how to program in C. It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard.
From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form.
As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.
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Domain-Driven Design: Tackling Complexity in the Heart of Software
Eric Evans
4.5
"Eric Evans has written a fantastic book on how you can make the design of your software match your mental model of the problem domain you are addressing. "His book is very compatible with XP. It is not about drawing pictures of a domain; it is about how you think of it, the language you use to talk about it, and how you organize your software to reflect your improving understanding of it. Eric thinks that learning about your problem domain is as likely to happen at the end of your project as at the beginning, and so refactoring is a big part of his technique. "The book is a fun read. Eric has lots of interesting stories, and he has a way with words. I see this book as essential reading for software developers--it is a future classic." --Ralph Johnson, author of Design Patterns "If you don't think you are getting value from your investment in object-oriented programming, this book will tell you what you've forgotten to do. "Eric Evans convincingly argues for the importance of domain modeling as the central focus of development and provides a solid framework and set of techniques for accomplishing it. This is timeless wisdom, and will hold up long after the methodologies du jour have gone out of fashion." --Dave Collins, author of Designing Object-Oriented User Interfaces "Eric weaves real-world experience modeling--and building--business applications into a practical, useful book. Written from the perspective of a trusted practitioner, Eric's descriptions of ubiquitous language, the benefits of sharing models with users, object life-cycle management, logical and physical application structuring, and the process and results of deep refactoring are major contributions to our field." --Luke Hohmann, author of Beyond Software Architecture "This book belongs on the shelf of every thoughtful software developer." --Kent Beck "What Eric has managed to capture is a part of the design process that experienced object designers have always used, but that we have been singularly unsuccessful as a group in conveying to the rest of the industry. We've given away bits and pieces of this knowledge...but we've never organized and systematized the principles of building domain logic. This book is important." --Kyle Brown, author of Enterprise Java(TM) Programming with IBM(R) WebSphere(R) The software development community widely acknowledges that domain modeling is central to software design. Through domain models, software developers are able to express rich functionality and translate it into a software implementation that truly serves the needs of its users. But despite its obvious importance, there are few practical resources that explain how to incorporate effective domain modeling into the software development process. Domain-Driven Design fills that need. This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book incorporates numerous examples based on actual projects to illustrate the application of domain-driven design to real-world software development. Readers learn how to use a domain model to make a complex development effort more focused and dynamic. A core of best practices and standard patterns provides a common language for the development team. A shift in emphasis--refactoring not just the code but the model underlying the code--in combination with the frequent iterations of Agile development leads to deeper insight into domains and enhanced communication between domain expert and programmer. Domain-Driven Design then builds on this foundation, and addresses modeling and design for complex systems and larger organizations.Specific topics covered include: Getting all team members to speak the same language Connecting model and implementation more deeply Sharpening key distinctions in a model Managing the lifecycle of a domain object Writing domain code that is safe to combine in elaborate ways Making complex code obvious and predictable Formulating a domain vision statement Distilling the core of a complex domain Digging out implicit concepts needed in the model Applying analysis patterns Relating design patterns to the model Maintaining model integrity in a large system Dealing with coexisting models on the same project Organizing systems with large-scale structures Recognizing and responding to modeling breakthroughs With this book in hand, object-oriented developers, system analysts, and designers will have the guidance they need to organize and focus their work, create rich and useful domain models, and leverage those models into quality, long-lasting software implementations.
Get more out of your legacy systems, more performance, functionality, reliability, and manageability.Is your code easy to change? Can you get nearly instantaneous feedback when you do change it? Do you understand it? If the answer to any of these questions is no, you have legacy code, and it is draining time and money away from your development efforts.
In this book, Michael Feathers offers start-to-finish strategies for working more effectively with large, untested legacy code bases. This book draws on material Michael created for his renowned Object Mentor seminars, techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control.
The topics covered include:
Understanding the mechanics of software change, adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform, with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren't object-oriented Handling applications that don't seem to have any structure
This book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes.
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21
Code: The Hidden Language of Computer Hardware and Software
Charles Petzold
4.4
What do flashlights, the British invasion, black cats, and seesaws have to do with computers? In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries.
Using everyday objects and familiar language systems such as Braille and Morse code, author Charles Petzold weaves an illuminating narrative for anyone who’s ever wondered about the secret inner life of computers and other smart machines.
It’s a cleverly illustrated and eminently comprehensible story—and along the way, you’ll discover you’ve gained a real context for understanding today’s world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you—and perhaps even awaken the technophile within.
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Recommended by Ana Bell.
Ana Bell
It gets you to use your imagination to virtually build a computer. It’s easy to read, you can lie down on the couch and enjoy it—it’s not so much of a textbook. It demystifies the magic of a computer and what it is. [source]
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22
Building Microservices: Designing Fine-Grained Systems
Sam Newman
4.4
Distributed systems have become more fine-grained in the past 10 years, shifting from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of headaches. With lots of examples and practical advice, this book takes a holistic view of the topics that system architects and administrators must consider when building, managing, and evolving microservice architectures.
Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. You'll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.
Discover how microservices allow you to align your system design with your organization's goals Learn options for integrating a service with the rest of your system Take an incremental approach when splitting monolithic codebases Deploy individual microservices through continuous integration Examine the complexities of testing and monitoring distributed services Manage security with user-to-service and service-to-service models Understand the challenges of scaling microservice architectures
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23
Patterns of Enterprise Application Architecture
Martin Fowler
4.4
The practice of enterprise application development has benefited from the emergence of many new enabling technologies. Multi-tiered object-oriented platforms, such as Java and .NET, have become commonplace. These new tools and technologies are capable of building powerful applications, but they are not easily implemented. Common failures in enterprise applications often occur because their developers do not understand the architectural lessons that experienced object developers have learned. Patterns of Enterprise Application Architecture is written in direct response to the stiff challenges that face enterprise application developers. The author, noted object-oriented designer Martin Fowler, noticed that despite changes in technology--from Smalltalk to CORBA to Java to .NET--the same basic design ideas can be adapted and applied to solve common problems. With the help of an expert group of contributors, Martin distills over forty recurring solutions into patterns. The result is an indispensable handbook of solutions that are applicable to any enterprise application platform. This book is actually two books in one. The first section is a short tutorial on developing enterprise applications, which you can read from start to finish to understand the scope of the book's lessons. The next section, the bulk of the book, is a detailed reference to the patterns themselves. Each pattern provides usage and implementation information, as well as detailed code examples in Java or C#. The entire book is also richly illustrated with UML diagrams to further explain the concepts. Armed with this book, you will have the knowledge necessary to make important architectural decisions about building an enterprise application and the proven patterns for use when building them. The topics covered include - Dividing an enterprise application into layers - The major approaches to organizing business logic - An in-depth treatment of mapping between objects and relational databases - Using Model-View-Controller to organize a Web presentation - Handling concurrency for data that spans multiple transactions - Designing distributed object interfaces
Most business books give you the same old advice: Write a business plan, study the competition, seek investors, yadda yadda. If you're looking for a book like that, put this one back on the shelf.
Rework shows you a better, faster, easier way to succeed in business. Read it and you'll know why plans are actually harmful, why you don't need outside investors, and why you're better off ignoring the competition. The truth is, you need less than you think. You don't need to be a workaholic. You don't need to staff up. You don't need to waste time on paperwork or meetings. You don't even need an office. Those are all just excuses.
What you really need to do is stop talking and start working. This book shows you the way. You'll learn how to be more productive, how to get exposure without breaking the bank, and tons more counterintuitive ideas that will inspire and provoke you.
With its straightforward language and easy-is-better approach, Rework is the perfect playbook for anyone who’s ever dreamed of doing it on their own. Hardcore entrepreneurs, small-business owners, people stuck in day jobs they hate, victims of "downsizing," and artists who don’t want to starve anymore will all find valuable guidance in these pages.
Unperturbed by conventional wisdom, the authors start fresh and rewrite the rules of business. Their approach turns out to be as successful as it is counter-intuitive. [source]
If given a choice between investing in someone who has read Rework or has an MBA, I'm investing in Rework every time. This is a must read for every entrepreneur. [source]
Tony Hsieh
CEO/Zappos.com
The wisdom in these pages is edgy yet simple, straightforward, and proven. Read this book multiple times to help give you the courage you need to get out there and make something great. [source]
Written in a fast-paced thriller style, 'The Goal' contains a serious message for all managers in industry and explains the ideas which underline the Theory of Constraints developed by the author.
Recommended by Jeff Bezos, Danielle Morrill, Kevin Systrom, and 4 others.
Encourages companies to identify the biggest constraints in their operations and then structure their organizations to get the most out of those constraints. [source]
Kevin Systrom
About basically manufacturing and supply chain management. It sounds really boring, but I promise you it’s really good. [source]
Chris Goward
Here are some of the books that have been very impactful for me, or taught me a new way of thinking: … The Goal. [source]
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27
Peopleware: Productive Projects and Teams
Tom DeMarco and Tim Lister
4.4
Recommended by Jeff Atwood and 1 others.
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28
Algorithms to Live By: The Computer Science of Human Decisions
A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind
All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
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Recommended by Doug McMillon, Chris Oliver, Emi Gal, and 2 others.
Here are some of my favorite reads from 2017. Lots of friends and colleagues send me book suggestions and it's impossible to squeeze them all in. I continue to be super curious about how digital and tech are enabling people to transform our lives but I try to read a good mix of books that apply to a variety of areas and stretch my thinking more broadly. [source]
Chris Oliver
This is a great book talking about how you can use computer science to help you make decisions in life. How do you know when to make a decision on the perfect house? Car? etc? It helps you apply algorithms to making those decisions optimally without getting lost. [source]
Emi Gal
When asked what books he would recommend to young people interested in his career path, mentioned Algorithms to Live By. [source]
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29
Continuous Delivery: Reliable Software Releases Through Build, Test, and Deployment Automation
Jez Humble and David Farley
4.3
Winner of the 2011 Jolt Excellence Award!
Getting software released to users is often a painful, risky, and time-consuming process. This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hours-- sometimes even minutes-no matter what the size of a project or the complexity of its code base. Jez Humble and David Farley begin by presenting the foundations of a rapid, reliable, low-risk delivery process. Next, they introduce the "deployment pipeline," an automated process for managing all changes, from check-in to release. Finally, they discuss the "ecosystem" needed to support continuous delivery, from infrastructure, data and configuration management to governance. The authors introduce state-of-the-art techniques, including automated infrastructure management and data migration, and the use of virtualization. For each, they review key issues, identify best practices, and demonstrate how to mitigate risks. Coverage includes - Automating all facets of building, integrating, testing, and deploying software - Implementing deployment pipelines at team and organizational levels - Improving collaboration between developers, testers, and operations - Developing features incrementally on large and distributed teams - Implementing an effective configuration management strategy - Automating acceptance testing, from analysis to implementation - Testing capacity and other non-functional requirements - Implementing continuous deployment and zero-downtime releases - Managing infrastructure, data, components and dependencies - Navigating risk management, compliance, and auditing Whether you're a developer, systems administrator, tester, or manager, this book will help your organization move from idea to release faster than ever--so you can deliver value to your business rapidly and reliably.
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30
Coders at Work: Reflections on the Craft of Programming
Peter Seibel
4.3
Peter Seibel interviews 16 of the most interesting computer programmers alive today in Coders at Work, offering a brand-new companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words "at work" suggest, Peter Seibel focuses on how his interviewees tackle the day–to–day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting.
Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: http://www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 16 folks who’ve been kind enough to agree to be interviewed:
- Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow - Joe Armstrong: Inventor of Erlang - Joshua Bloch: Author of the Java collections framework, now at Google - Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger - Douglas Crockford: JSON founder, JavaScript architect at Yahoo! - L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 - Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation - Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal - Dan Ingalls: Smalltalk implementor and designer - Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler - Donald Knuth: Author of The Art of Computer Programming and creator of TeX - Peter Norvig: Director of Research at Google and author of the standard text on AI - Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress - Ken Thompson: Inventor of UNIX - Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker
What you’ll learn: How the best programmers in the world do their job
Who is this book for? Programmers interested in the point of view of leaders in the field. Programmers looking for approaches that work for some of these outstanding programmers.
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Recommended by Santiago Basulto and Vicki Boykis.
Santiago Basulto
Founders at Work and Coders at Work are really good ones too. They’re filled with interesting and inspiring stories. [source]
Vicki Boykis
It’s about how those people got into programming and how they think about it. It’s a very conversational book that really helps you to learn the culture of this industry you’re coming into, and some of its terminology. [source]
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31
Clean Architecture
Robert C. Martin
4.3
Building upon the success of best-sellers The Clean Coder and Clean Code, legendary software craftsman Robert C. "Uncle Bob" Martin shows how to bring greater professionalism and discipline to application architecture and design. As with his other books, Martin's Clean Architecture doesn't merely present multiple choices and options, and say "use your best judgment": it tells you what choices to make, and why those choices are critical to your success. Martin offers direct, no-nonsense answers to key architecture and design questions like:
What are the best high level structures for different kinds of applications, including web, database, thick-client, console, and embedded apps?
What are the core principles of software architecture?
What is the role of the architect, and what is he/she really trying to achieve?
What are the core principles of software design?
How do designs and architectures go wrong, and what can you do about it?
What are the disciplines and practices of professional architects and designers?
Clean Architecture is essential reading for every software architect, systems analyst, system designer, and software manager -- and for any programmer who aspires to these roles or is impacted by their work.
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32
Effective C++: 55 Specific Ways to Improve Your Programs and Designs
Scott Meyers
4.3
The Barnes & Noble Review Since early in the 90s, working C++ programmers have relied on Scott Meyers s Effective C++ to dramatically improve their skills. But the state-of-the-art has moved forward dramatically since Meyers last updated this book in 1997. (For instance, there s now STL. Design patterns. Even new functionality being added through TR1 and Boost.) So Meyers has done a top-to-bottom rewrite, identifying the 55 most valuable techniques you need now to be exceptionally effective with C++.
Over half of this edition s content is new. Templates broadly impact C++ development, and you ll find them everywhere. There s extensive coverage of multithreaded systems. There s an entirely new chapter on resource management. You ll find substantial new coverage of exceptions. Much is gained, but nothing s lost: You ll find the same depth of practical insight that first made Effective C++ a classic all those years ago. Bill Camarda, from the July 2005 href="Read" rel="nofollow">http://www.barnesandnoble.com/newslet... Only
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33
Gödel, Escher, Bach: An Eternal Golden Braid
Douglas R. Hofstadter
4.3
Douglas Hofstadter's book is concerned directly with the nature of “maps” or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.
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Recommended by Steve Jurvetson, Seth Godin, Cory Zue, and 2 others.
Steve Jurvetson
Steve Jurvetson recommended this book on the podcast "The Tim Ferriss Show". [source]
In the last week, I discovered that at least two of my smart friends hadn't read Godel, Escher, Bach. They have now. You should too. [source]
Cory Zue
More recently books like Godel, Escher, Bach and Sapiens have influenced my thinking a lot. [source]
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34
Release It!: Design and Deploy Production-Ready Software (Pragmatic Programmers)
Michael T. Nygard
4.3
Whether it's in Java, .NET, or Ruby on Rails, getting your application ready to ship is only half the battle. Did you design your system to survivef a sudden rush of visitors from Digg or Slashdot? Or an influx of real world customers from 100 different countries? Are you ready for a world filled with flakey networks, tangled databases, and impatient users?
If you're a developer and don't want to be on call for 3AM for the rest of your life, this book will help.
In Release It!, Michael T. Nygard shows you how to design and architect your application for the harsh realities it will face. You'll learn how to design your application for maximum uptime, performance, and return on investment.
Mike explains that many problems with systems today start with the design.
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35
Test Driven Development: By Example
Kent Beck
4.3
Follows two TDD projects from start to finish, illustrating techniques programmers can use to increase the quality of their work. The examples are followed by references to the featured TDD patterns and refactorings. This book emphasises on agile methods and fast development strategies.
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36
The Visual Display of Quantitative Information
Edward R. Tufte
4.3
The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.
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Recommended by Bret Victor and Michael Okuda.
Michael Okuda
Edward Tufte's classic book, The Visual Display of Quantitative Information is a fascinating, surprisingly readable treatise for anyone interested in infographics. When I hired artists for the Star Trek graphics dept, I sometimes asked them to read it.https://t.co/cK4GQqBDxp [source]
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37
Pro Git
Scott Chacon
4.3
Git is the version control system developed by Linus Torvalds for Linux kernel development. It took the open source world by storm since its inception in 2005, and is used by small development shops and giants like Google, Red Hat, and IBM, and of course many open source projects.
A book by Git experts to turn you into a Git expert. Introduces the world of distributed version control Shows how to build a Git development workflow.
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38
Java Concurrency in Practice
Brian Goetz
4.3
"I was fortunate indeed to have worked with a fantastic team on the design and implementation of the concurrency features added to the Java platform in Java 5.0 and Java 6. Now this same team provides the best explanation yet of these new features, and of concurrency in general. Concurrency is no longer a subject for advanced users only. Every Java developer should read this book." --Martin Buchholz JDK Concurrency Czar, Sun Microsystems
"For the past 30 years, computer performance has been driven by Moore's Law; from now on, it will be driven by Amdahl's Law. Writing code that effectively exploits multiple processors can be very challenging. Java Concurrency in Practice provides you with the concepts and techniques needed to write safe and scalable Java programs for today's--and tomorrow's--systems." --Doron Rajwan Research Scientist, Intel Corp
"This is the book you need if you're writing--or designing, or debugging, or maintaining, or contemplating--multithreaded Java programs. If you've ever had to synchronize a method and you weren't sure why, you owe it to yourself and your users to read this book, cover to cover." --Ted Neward Author of Effective Enterprise Java
"Brian addresses the fundamental issues and complexities of concurrency with uncommon clarity. This book is a must-read for anyone who uses threads and cares about performance." --Kirk Pepperdine CTO, JavaPerformanceTuning.com
"This book covers a very deep and subtle topic in a very clear and concise way, making it the perfect Java Concurrency reference manual. Each page is filled with the problems (and solutions!) that programmers struggle with every day. Effectively exploiting concurrency is becoming more and more important now that Moore's Law is delivering more cores but not faster cores, and this book will show you how to do it." --Dr. Cliff Click Senior Software Engineer, Azul Systems
"I have a strong interest in concurrency, and have probably written more thread deadlocks and made more synchronization mistakes than most programmers. Brian's book is the most readable on the topic of threading and concurrency in Java, and deals with this difficult subject with a wonderful hands-on approach. This is a book I am recommending to all my readers of The Java Specialists' Newsletter, because it is interesting, useful, and relevant to the problems facing Java developers today." --Dr. Heinz Kabutz The Java Specialists' Newsletter
"I've focused a career on simplifying simple problems, but this book ambitiously and effectively works to simplify a complex but critical subject: concurrency. Java Concurrency in Practice is revolutionary in its approach, smooth and easy in style, and timely in its delivery--it's destined to be a very important book." --Bruce Tate Author of Beyond Java
"Java Concurrency in Practice is an invaluable compilation of threading know-how for Java developers. I found reading this book intellectually exciting, in part because it is an excellent introduction to Java's concurrency API, but mostly because it captures in a thorough and accessible way expert knowledge on threading not easily found elsewhere." --Bill Venners Author of Inside the Java Virtual Machine
Threads are a fundamental part of the Java platform. As multicore processors become the norm, using concurrency effectively becomes essential for building high-performance applications. Java SE 5 and 6 are a huge step forward for the development of concurrent applications, with improvements to the Java Virtual Machine to support high-performance, highly scalable concurrent classes and a rich set of new concurrency building blocks. In Java Concurrency in Practice, the creators of these new facilities explain not only how they work and how to use them, but also the motivation and design patterns behind them.
However, developing, testing, and debugging multithreaded programs can still be very difficult; it is all too easy to create concurrent programs that appear to work, but fail when it matters most: in production, under heavy load. Java Concurrency in Practice arms readers with both the theoretical underpinnings and concrete techniques for building reliable, scalable, maintainable concurrent applications. Rather than simply offering an inventory of concurrency APIs and mechanisms, it provides design rules, patterns, and mental models that make it easier to build concurrent programs that are both correct and performant.
This book covers:
Basic concepts of concurrency and thread safety Techniques for building and composing thread-safe classes Using the concurrency building blocks in java.util.concurrent Performance optimization dos and don'ts Testing concurrent programs Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model
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39
Programming Pearls
Jon Bentley
4.3
The first edition of Programming Pearls was one of the most influential books I read early in my career, and many of the insights I first encountered in that book stayed with me long after I read it. Jon has done a wonderful job of updating the material. I am very impressed at how fresh the new examples seem. - Steve McConnell When programmers list their favorite books, Jon Bentley's collection of programming pearls is commonly included among the classics. Just as natural pearls grow from grains of sand that irritate oysters, programming pearls have grown from real problems that have irritated real programmers. With origins beyond solid engineering, in the realm of insight and creativity, Bentley's pearls offer unique and clever solutions to those nagging problems. Illustrated by programs designed as much for fun as for instruction, the book is filled with lucid and witty descriptions of practical programming techniques and fundamental design principles. It is not at all surprising that Programming Pearls has been so highly valued by programmers at every level of experience. In this revision, the first in 14 years, Bentley has substantially updated his essays to reflect
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Recommended by Jeff Atwood and James Stanley.
James Stanley
I very much enjoyed reading "Programming Pearls" by John Bentley. Most of the software we write is trying to solve fairly large and ill-defined problems in a way that minimises development cost, but Programming Pearls presents a lot of small, well-defined problems, and talks through their solutions in ways that minimise machine resource usage. There are lots of good "a-ha" moments when reading it, and working through ways to think about the problems that knock asymptotic orders off the computational complexity. [source]
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40
Artificial Intelligence: A Modern Approach
Stuart Russell and Peter Norvig
4.3
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa
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41
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
Managing people is difficult wherever you work, but the tech industry as a whole is pretty bad at it. Tech companies in general lack the experience, tools, texts, and frameworks to do it well. And the handful of books that share tips and tricks of engineering management don t explain how to supervise employees in the face of growth and change.
In this book, author Camille Fournier takes you through the stages of technical management, from mentoring interns to working with the senior staff. You ll get actionable advice for approaching various obstacles in your path, whether you re a new manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization.
• Discover how to manage small teams and large/multi-level teams • Understand how to build and bootstrap a unifying culture in teams • Deal with people problems and learn how to mentor other managers and new leaders • Learn how to manage yourself: avoid common pitfalls that challenge many leaders • Obtain several practices that you can incorporate and practice along the way
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42
Site Reliability Engineering: How Google Runs Production Systems
Niall Richard Murphy, Betsy Beyer, et al.
4.2
The overwhelming majority of a software system's lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?
In this collection of essays and articles, key members of Google's Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You'll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient--lessons directly applicable to your organization.
This book is divided into four sections: Introduction--Learn what site reliability engineering is and why it differs from conventional IT industry practicesPrinciples--Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)Practices--Understand the theory and practice of an SRE's day-to-day work: building and operating large distributed computing systemsManagement--Explore Google's best practices for training, communication, and meetings that your organization can use
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43
The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations
Gene Kim, Patrick Debois, John Willis, Jez Humble, John Allspaw
4.2
Increase profitability, elevate work culture, and exceed productivity goals through DevOps practices.
More than ever, the effective management of technology is critical for business competitiveness. For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater whether it's the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud.
And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day.
Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace."
Table of contents
Preface Spreading the Aha! Moment Introduction
PART I: THE THREE WAYS 1. Agile, continuous delivery and the three ways 2. The First Way: The Principles of Flow 3. The Second Way: The Principle of Feedback 4. The Third Way: The Principles of Continual Learning
PART II: WHERE TO START 5. Selecting which value stream to start with 6. Understanding the work in our value stream… 7. How to design our organization and architecture 8. How to get great outcomes by integrating operations into the daily work for development
PART III: THE FIRST WAY: THE TECHNICAL PRACTICES OF FLOW 9. Create the foundations of our deployment pipeline 10. Enable fast and reliable automated testing 11. Enable and practice continuous integration 12. Automate and enable low-risk releases 13. Architect for low-risk releases
PART IV: THE SECOND WAY: THE TECHNICAL PRACTICES OF FEEDBACK 14*. Create telemetry to enable seeing abd solving problems 15. Analyze telemetry to better anticipate problems 16. Enable feedbackso development and operation can safely deploy code 17. Integrate hypothesis-driven development and A/B testing into our daily work 18. Create review and coordination processes to increase quality of our current work
PART V: THE THRID WAY: THE TECHNICAL PRACTICES OF CONTINUAL LEARNING 19. Enable and inject learning into daily work 20. Convert local discoveries into global improvements 21. Reserve time to create organizational learning 22. Information security as everyone’s job, every day 23. Protecting the deployment pipeline
PART VI: CONCLUSION A call to action Conclusion to the DevOps Handbook
APPENDICES 1. The convergence of Devops 2. The theory of constraints and core chronic conflicts 3. Tabular form of downward spiral 4. The dangers of handoffs and queues 5. Myths of industrial safety 6. The Toyota Andon Cord 7. COTS Software 8. Post-mortem meetings 9. The Simian Army 10. Transparent uptime
Additional Resources Endnotes
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44
Eloquent Javascript: A Modern Introduction to Programming
Marijn Haverbeke
4.2
Completely revised and updated, this best-selling introduction to programming in JavaScript focuses on writing real applications.
Eloquent JavaScript dives into the JavaScript language to show programmers how to write elegant, effective JavaScript code. Like any good programming book, Eloquent JavaScript begins with fundamentals--variables, control structures, functions, and data structures--then moves on to complex topics like object-oriented programming and regular expressions. This third edition introduces new features covering the 2017 version of JavaScript, such as class notation, arrow functions, iterators, async functions, template strings, and black scope. Author Marijn Haverbeke keeps the friendly tone and easy-to-follow explanations that made the original a hit, and he adds new exercises for readers to test their skills. Eloquent JavaScript will have readers fluent in the language of the web in no time, eloquently.
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45
An Introduction to Statistical Learning: With Applications in R
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
4.2
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
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Recommended by Roger D. Peng.
Roger D. Peng
This book is written by a powerhouse of authors in the machine learning community, true authorities in the field. But beyond that, they’re also great writers. [source]
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JavaScript: The Definitive Guide
David Flanagan
4.2
Since 1996, JavaScript: The Definitive Guide has been the bible for JavaScript programmers—a programmer's guide and comprehensive reference to the core language and to the client-side JavaScript APIs defined by web browsers. The 6th edition covers HTML5 and ECMAScript 5, with new chapters on jQuery and server side JavaScript. It's recommended for experienced programmers who want to learn the programming language of the Web, and for current JavaScript programmers who want to master it.
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The C++ Programming Language
Bjarne Stroustrup
4.2
The new C++11 standard allows programmers to express ideas more clearly, simply, and directly, and to write faster, more efficient code. Bjarne Stroustrup, the designer and original implementer of C++, has reorganized, extended, and completely rewritten his definitive reference and tutorial for programmers who want to use C++ most effectively. "The C++ Programming Language, Fourth Edition, " delivers meticulous, richly explained, and integrated coverage of the entire language--its facilities, abstraction mechanisms, standard libraries, and key design techniques. Throughout, Stroustrup presents concise, "pure C++11" examples, which have been carefully crafted to clarify both usage and program design. To promote deeper understanding, the author provides extensive cross-references, both within the book and to the ISO standard. New C++11 coverage includes Support for concurrency Regular expressions, resource management pointers, random numbers, and improved containers General and uniform initialization, simplified for-statements, move semantics, and Unicode support Lambdas, general constant expressions, control over class defaults, variadic templates, template aliases, and user-defined literals Compatibility issues Topics addressed in this comprehensive book include Basic facilities: type, object, scope, storage, computation fundamentals, and more Modularity, as supported by namespaces, source files, and exception handling C++ abstraction, including classes, class hierarchies, and templates in support of a synthesis of traditional programming, object-oriented programming, and generic programming Standard Library: containers, algorithms, iterators, utilities, strings, stream I/O, locales, numerics, and more The C++ basic memory model, in depth This fourth edition makes C++11 thoroughly accessible to programmers moving from C++98 or other languages, while introducing insights and techniques that even cutting-edge C++11 programmers will find indispensable. "This book features an enhanced, layflat binding, which allows the book to stay open more easily when placed on a flat surface. This special binding method--noticeable by a small space inside the spine--also increases durability."
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Scrum: The Art of Doing Twice the Work in Half the Time
Foreword by Kent Beck "The authors of this book have led a revolution in the craft of programming by controlling the environment in which software grows." --Ward Cunningham "At last, a book suffused with code that exposes the deep symbiosis between TDD and OOD. This one's a keeper." --Robert C. Martin "If you want to be an expert in the state of the art in TDD, you need to understand the ideas in this book."--Michael Feathers Test-Driven Development (TDD) is now an established technique for delivering better software faster. TDD is based on a simple idea: Write tests for your code before you write the code itself. However, this "simple" idea takes skill and judgment to do well. Now there's a practical guide to TDD that takes you beyond the basic concepts. Drawing on a decade of experience building real-world systems, two TDD pioneers show how to let tests guide your development and "grow" software that is coherent, reliable, and maintainable. Steve Freeman and Nat Pryce describe the processes they use, the design principles they strive to achieve, and some of the tools that help them get the job done. Through an extended worked example, you'll learn how TDD works at multiple levels, using tests to drive the features and the object-oriented structure of the code, and using Mock Objects to discover and then describe relationships between objects. Along the way, the book systematically addresses challenges that development teams encounter with TDD--from integrating TDD into your processes to testing your most difficult features. Coverage includes - Implementing TDD effectively: getting started, and maintaining your momentum throughout the project - Creating cleaner, more expressive, more sustainable code - Using tests to stay relentlessly focused on sustaining quality - Understanding how TDD, Mock Objects, and Object-Oriented Design come together in the context of a real software development project - Using Mock Objects to guide object-oriented designs - Succeeding where TDD is difficult: managing complex test data, and testing persistence and concurrency
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Deep Learning
Ian Goodfellow, Yoshua Bengio, et al.
4.2
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.
The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.
Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Very clear exposition, does the math without getting lost in the details. Although many of the concepts of the introductory first 100 pages can be found elsewhere, they are presented with remarkable cut-to-the-chase clarity. [source]
Elon Musk and Facebook AI chief Yann LeCun have praised this textbook on one of software’s most promising frontiers. After its publication, Microsoft signed up coauthor Bengio, a pioneer in machine learning, as an adviser [source]
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Mastering Regular Expressions
Jeffrey E. F. Friedl
4.2
Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Perl, Python, Ruby, Java, VB.NET and C# (and any language using the .NET Framework), PHP, and MySQL.
If you don't use regular expressions yet, you will discover in this book a whole new world of mastery over your data. If you already use them, you'll appreciate this book's unprecedented detail and breadth of coverage. If you think you know all you need to know about regularexpressions, this book is a stunning eye-opener.
As this book shows, a command of regular expressions is an invaluable skill. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Regular expressions can save you time and aggravation. They can be used to craft elegant solutions to a wide range of problems. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them.
Yet despite their wide availability, flexibility, and unparalleled power, regular expressions are frequently underutilized. Yet what is power in the hands of an expert can be fraught with peril for the unwary. Mastering Regular Expressions will help you navigate the minefield to becoming an expert and help you optimize your use of regular expressions.
Mastering Regular Expressions, Third Edition, now includes a full chapter devoted to PHP and its powerful and expressive suite of regular expression functions, in addition to enhanced PHP coverage in the central "core" chapters. Furthermore, this edition has been updated throughout to reflect advances in other languages, including expanded in-depth coverage of Sun's java.util.regex package, which has emerged as the standard Java regex implementation.Topics include:
A comparison of features among different versions of many languages and tools How the regular expression engine works Optimization (major savings available here!) Matching just what you want, but not what you don't want Sections and chapters on individual languages Written in the lucid, entertaining tone that makes a complex, dry topic become crystal-clear to programmers, and sprinkled with solutions to complex real-world problems, Mastering Regular Expressions, Third Edition offers a wealth information that you can put to immediateuse.
Reviews of this new edition and the second edition:
"There isn't a better (or more useful) book available on regular expressions."
--Zak Greant, Managing Director, eZ Systems
"A real tour-de-force of a book which not only covers the mechanics of regexes in extraordinary detail but also talks about efficiency and the use of regexes in Perl, Java, and .NET...If you use regular expressions as part of your professional work (even if you already have a good book on whatever language you're programming in) I would strongly recommend this book to you."
--Dr. Chris Brown, Linux Format
"The author does an outstanding job leading the reader from regexnovice to master. The book is extremely easy to read and chock full ofuseful and relevant examples...Regular expressions are valuable toolsthat every developer should have in their toolbox. Mastering RegularExpressions is the definitive guide to the subject, and an outstandingresource that belongs on every programmer's bookshelf. Ten out of TenHorseshoes."
--Jason Menard, Java Ranch
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie, Robert Tibshirani, Jerome Friedman
4.2
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.
This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.
Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Very comprehensive, sufficiently technical to get most of the plumbing behind machine learning. Very useful as a reference book (actually, there is no other complete reference book). The authors are the real thing (Tibshirani is the one behind the LASSO regularization technique). Uses some mathematical statistics without the burdens of measure theory and avoids the obvious but complicated proofs. I own two copies of this edition, one for the office, one for my house, and the authors generously provide the PDF for travelers like me. [source]
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Compilers: Principles, Techniques, and Tools
Alfred V. Aho, Ravi Sethi, Jeffrey D. Ullman
4.2
This introduction to compilers is the direct descendant of the well-known book by Aho and Ullman, Principles of Compiler Design. The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a thorough introduction to compiler design and covers topics such as context-free grammars, fine state machines, and syntax-directed translation.
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EMPOWERED: Ordinary People, Extraordinary Products (Silicon Valley Product Group)
The Passionate Programmer: Creating a Remarkable Career in Software Development
Chad Fowler
4.2
Success in today's IT environment requires you to view your career as a business endeavor. In this book, you'll learn how to become an entrepreneur, driving your career in the direction of your choosing. You'll learn how to build your software development career step by step, following the same path that you would follow if you were building, marketing, and selling a product. After all, your skills themselves are a product. The choices you make about which technologies to focus on and which business domains to master have at least as much impact on your success as your technical knowledge itself?don't let those choices be accidental. We'll walk through all aspects of the decision-making process, so you can ensure that you're investing your time and energy in the right areas. You'll develop a structured plan for keeping your mind engaged and your skills fresh. You'll learn how to assess your skills in terms of where they fit on the value chain, driving you away from commodity skills and toward those that are in high demand. Through a mix of high-level, thought-provoking essays and tactical "Act on It" sections, you will come away with concrete plans you can put into action immediately. This new edition focuses more closely on creating a remarkable career. You'll get a chance to read the perspectives of several highly successful members of our industry from a variety of career paths, and new tips have been added through the book to reflect new lessons to learn and new actions to take to improve your career. As with any product or service, if nobody knows what you're selling, nobody will buy. We'll walk through the often-neglected world of marketing, and you'll create a plan to market yourself both inside your company and to the industry in general. Above all, you'll see how you can set the direction of your career, leading to a more fulfilling and remarkable professional life. About
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Recommended by Timur Badretdinov.
Timur Badretdinov
As for programming, I’d recommend The Passionate Programmer. [source]
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Programming Perl: Unmatched power for text processing and scripting
Tom Christiansen, brian d foy, et al.
4.1
Adopted as the undisputed Perl bible soon after the first edition appeared in 1991, Programming Perl is still the go-to guide for this highly practical language. Perl began life as a super-fueled text processing utility, but quickly evolved into a general purpose programming language that’s helped hundreds of thousands of programmers, system administrators, and enthusiasts, like you, get your job done.
In this much-anticipated update to "the Camel," three renowned Perl authors cover the language up to its current version, Perl 5.14, with a preview of features in the upcoming 5.16. In a world where Unicode is increasingly essential for text processing, Perl offers the best and least painful support of any major language, smoothly integrating Unicode everywhere—including in Perl’s most popular feature: regular expressions.
Important features covered by this update include:
New keywords and syntax I/O layers and encodings New backslash escapes Unicode 6.0 Unicode grapheme clusters and properties Named captures in regexes Recursive and grammatical patterns Expanded coverage of CPAN Current best practices
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Recommended by Garry Tan and James Hong.
James Hong
All legit OG web people will remember the camel book well... except @pud who somehow did amazing things all using .cfm 😉 https://t.co/n4pOpkOY6M [source]
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Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Gregor Hohpe, Bobby Woolf
4.1
Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise. The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in practice, and the book offers a look at emerging standards, as well as insights into what the future of enterprise integration might hold. This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book.
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Extreme Programming Explained: Embrace Change (The XP Series)
Kent Beck
4.1
"In this second edition of Extreme Programming Explained, Kent Beck organizes and presents five years' worth of experiences, growth, and change revolving around XP. If you are seriously interested in understanding how you and your team can start down the path of improvement with XP, you must read this book."
--Francesco Cirillo, Chief Executive Officer, XPLabs S.R.L. "The first edition of this book told us what XP was--it changed the way many of us think about software development. This second edition takes it farther and gives us a lot more of the 'why' of XP, the motivations and the principles behind the practices. This is great stuff. Armed with the 'what' and the 'why, ' we can now all set out to confidently work on the 'how' how to run our projects better, and how to get agile techniques adopted in our organizations."
--Dave Thomas, The Pragmatic Programmers LLC "This book is dynamite! It was revolutionary when it first appeared a few years ago, and this new edition is equally profound. For those who insist on cookbook checklists, there's an excellent chapter on 'primary practices, ' but I urge you to begin by truly contemplating the meaning of the opening sentence in the first chapter of Kent Beck's book: 'XP is about social change.' You should do whatever it takes to ensure that every IT professional and every IT manager--all the way up to the CIO--has a copy of Extreme Programming Explained on his or her desk."
--Ed Yourdon, author and consultant "XP is a powerful set of concepts for simplifying the process of software design, development, and testing. It is about minimalism and incrementalism, which are especially useful principles when tackling complex problems that require a balance of creativity and discipline."
--Michael A. Cusumano, Professor, MIT Sloan School of Management, and author of The Business of Software "Extreme Programming Explained is the work of a talented and passionate craftsman. Kent Beck has brought together a compelling collection of ideas about programming and management that deserves your full attention. My only beef is that our profession has gotten to a point where such common-sense ideas are labeled 'extreme.'..."
--Lou Mazzucchelli, Fellow, Cutter Business Technology Council "If your organization is ready for a change in the way it develops software, there's the slow incremental approach, fixing things one by one, or the fast track, jumping feet first into Extreme Programming. Do not be frightened by the name, it is not that extreme at all. It is mostly good old recipes and common sense, nicely integrated together, getting rid of all the fat that has accumulated over the years."
--Philippe Kruchten, UBC, Vancouver, British Columbia "Sometimes revolutionaries get left behind as the movement they started takes on a life of its own. In this book, Kent Beck shows that he remains ahead of the curve, leading XP to its next level. Incorporating five years of feedback, this book takes a fresh look at what it takes to develop better software in less time and for less money. There are no silver bullets here, just a set of practical principles that, when used wisely, can lead to dramatic improvements in software development productivity."
--Mary Poppendieck, author of Lean Software Development: An Agile Toolkit "Kent Beck has revised his classic book based on five more years of applying and teaching XP. He shows how the path to XP is both easy and hard: It can be started with fewer practices, and yet it challenges teams to go farther than ever."
--William Wake, independent consultant "With new insights, wisdom from experience, and clearer explanations of the art of Extreme Programming, this edition of Beck's classic will help many realize the dream of outstanding software development."
--Joshua Kerievsky, author of Refactoring to Patterns and Founder, Industrial Logic, Inc. "XP has changed the way our industry thinks about software development. Its brilliant simplicity, focused execution, and insistence on fact-based planning over speculation have set a new standard for software delivery."
--David Trowbridge, Architect, Microsoft Corporation Accountability. Transparency. Responsibility. These are not words that are often applied to software development.
In this completely revised introduction to Extreme Programming (XP), Kent Beck describes how to improve your software development by integrating these highly desirable concepts into your daily development process.
The first edition of Extreme Programming Explained is a classic. It won awards for its then-radical ideas for improving small-team development, such as having developers write automated tests for their own code and having the whole team plan weekly. Much has changed in five years. This completely rewritten second edition expands the scope of XP to teams of any size by suggesting a program of continuous improvement based on:
Five core values consistent with excellence in software development Eleven principles for putting those values into action Thirteen primary and eleven corollary practices to help you push development past its current business and technical limitations Whether you have a small team that is already closely aligned with your customers or a large team in a gigantic or multinational organization, you will find in these pages a wealth of ideas to challenge, inspire, and encourage you and your team members to substantially improve your software development.
You will discover how to:
Involve the whole team--XP style Increase technical collaboration through pair programming and continuous integration Reduce defects through developer testing Align business and technical decisions through weekly and quarterly planning Improve teamwork by setting up an informative, shared workspace You will also find many other concrete ideas for improvement, all based on a philosophy that emphasizes simultaneously increasing the humanity and effectiveness of software development.
Every team can improve. Every team can begin improving today. Improvement is possible--beyond what we can currently imagine. Extreme Programming Explained, Second Edition, offers ideas to fuel your improvement for years to come.
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Recommended by Steve Blank.
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Hackers & Painters: Big Ideas from the Computer Age
Paul Graham
4.1
“The computer world is like an intellectual Wild West, in which you can shoot anyone you wish with your ideas, if you’re willing to risk the consequences.” —from Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham
We are living in the computer age, in a world increasingly designed and engineered by computer programmers and software designers, by people who call themselves hackers. Who are these people, what motivates them, and why should you care?
Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. Letters, encyclopedias, newspapers, and even your local store are being replaced by the Internet.
Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham, explains this world and the motivations of the people who occupy it. In clear, thoughtful prose that draws on illuminating historical examples, Graham takes readers on an unflinching exploration into what he calls “an intellectual Wild West.”
The ideas discussed in this book will have a powerful and lasting impact on how we think, how we work, how we develop technology, and how we live. Topics include the importance of beauty in software design, how to make wealth, heresy and free speech, the programming language renaissance, the open-source movement, digital design, internet startups, and more.
…
Recommended by Ev Williams, Evan Williams, Brian Armstrong, and 8 others.
Evan Williams
Co-creator/Blogger
I want everybody I know to read "How to Make Wealth" and "Mind the Gap" (chapters 6 and 7), which brilliantly articulate the most commonly, and frustratingly, misunderstood core economic principles of everyday life. [source]
Bob Frankston
A wonderful book and required reading. Paul helps others understand why I chose the name 'Software Arts' for the company Dan Bricklin and I started. Those who don't understand the language of software cannot consider themselves literate. [source]
Chris Anderson
A delightful ping-pong around the brain of a really smart guy. The chapter that answers the key question of our age-- why are nerds unpopular?-- is worth the price of admission alone. [source]
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Storytelling with Data: A Data Visualization Guide for Business Professionals
Cole Nussbaumer Knaflic
4.1
Don't simply show your data--tell a story with it!Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples--ready for immediate application to your next graph or presentation.
Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:
Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data--Storytelling with Data will give you the skills and power to tell it!
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Recommended by Roger D. Peng.
Roger D. Peng
It’s important to think in terms of what your audience needs, and what would be best for them among the many choices you could make when analysing data. [source]
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Practical Object Oriented Design in Ruby
Sandi Metz
4.1
The Complete Guide to Writing More Maintainable, Manageable, Pleasing, and Powerful Ruby Applications Ruby's widely admired ease of use has a downside: Too many Ruby and Rails applications have been created without concern for their long-term maintenance or evolution. The Web is awash in Ruby code that is now virtually impossible to change or extend. This text helps you solve that problem by using powerful real-world object-oriented design techniques, which it thoroughly explains using simple and practical Ruby examples. Sandi Metz has distilled a lifetime of conversations and presentations about object-oriented design into a set of Ruby-focused practices for crafting manageable, extensible, and pleasing code. She shows you how to build new applications that can survive success and repair existing applications that have become impossible to change. Each technique is illustrated with extended examples, all downloadable from the companion Web site, poodr.info. The first title to focus squarely on object-oriented Ruby application design, Practical Object-Oriented Design in Ruby will guide you to superior outcomes, whatever your previous Ruby experience. Novice Ruby programmers will find specific rules to live by; intermediate Ruby programmers will find valuable principles they can flexibly interpret and apply; and advanced Ruby programmers will find a common language they can use to lead development and guide their colleagues. This guide will help you Understand how object-oriented programming can help you craft Ruby code that is easier to maintain and upgrade Decide what belongs in a single Ruby class Avoid entangling objects that should be kept separate Define flexible interfaces among objects Reduce programming overhead costs with duck typing Successfully apply inheritance Build objects via composition Design cost-effective tests Solve common problems associated with poorly designed Ruby code
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The Art of Computer Programming, Volume 1: Fundamental Algorithms
Donald E. Knuth
4.1
The first revision of this third volume is the most comprehensivesurvey of classical computer techniques for sorting and searching. It extends thetreatment of data structures in Volume 1 to consider both large and smalldatabases and internal and external memories. The book contains a selection ofcarefully checked computer methods, with a quantitative analysis of theirefficiency. Outstanding features of the second edition include a revised sectionon optimum sorting and new discussions of the theory of permutations and ofuniversal hashing.
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Pragmatic Thinking and Learning: Refactor Your Wetware
Andy Hunt
4.1
Software development happens in your head. Not in an editor, IDE, or design tool. You're well educated on how to work with software and hardware, but what about wetware--our own brains? Learning new skills and new technology is critical to your career, and it's all in your head.
In this book by Andy Hunt, you'll learn how our brains are wired, and how to take advantage of your brain's architecture. You'll learn new tricks and tips to learn more, faster, and retain more of what you learn.
You need a pragmatic approach to thinking and learning. You need to Refactor Your Wetware.
Programmers have to learn constantly; not just the stereotypical new technologies, but also the problem domain of the application, the whims of the user community, the quirks of your teammates, the shifting sands of the industry, and the evolving characteristics of the project itself as it is built.
We'll journey together through bits of cognitive and neuroscience, learning and behavioral theory. You'll see some surprising aspects of how our brains work, and how you can take advantage of the system to improve your own learning and thinking skills.
In this book you'll learn how to:
Use the Dreyfus Model of Skill Acquisition to become more expert
Leverage the architecture of the brain to strengthen different thinking modes
Avoid common "known bugs" in your mind
Learn more deliberately and more effectively
Manage knowledge more efficiently
Printed in full color.
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Learning Python
Mark Lutz
4.1
Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of "Learning Python" puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. "Learning Python," Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of "Learning Python" also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of "Learning Python" gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding."Learning Python," Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then "Learning Python," Second Edition is your best choice.
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Data Structures and Algorithms in Java
Robert Sedgewick and Kevin Wayne
4.1
The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.
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Recommended by Ana Bell.
Ana Bell
The book presents some very basic algorithms, using Java. Every algorithm you see in the book is also implemented in Java, so if you want to run it, you can copy the code and execute it yourself. [source]
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66
Programming in Scala: Updated for Scala 2.12
Martin Odersky, Lex Spoon, Bill Venners
4.1
Programming in Scala
Recommended by Santiago Basulto.
Santiago Basulto
I love the following books, even though I don’t code in these languages in a daily basis. It’s still interesting to learn the concepts behind them Programming in Scala (Odersky) Learn You a Haskell for Great Good [source]
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67
Applied Cryptography: Protocols, Algorithms, and Source Code in C
Bruce Schneier
4.1
"…the best introduction to cryptography I've ever seen. … The book the National Security Agency wanted never to be published." –Wired Magazine
"…monumental… fascinating… comprehensive… the definitive work on cryptography for computer programmers…" –Dr. Dobb's Journal
"…easily ranks as one of the most authoritative in its field." —PC Magazine
"…the bible of code hackers." –The Millennium Whole Earth Catalog
This new edition of the cryptography classic provides you with a comprehensive survey of modern cryptography. The book details how programmers and electronic communications professionals can use cryptography—the technique of enciphering and deciphering messages-to maintain the privacy of computer data. It describes dozens of cryptography algorithms, gives practical advice on how to implement them into cryptographic software, and shows how they can be used to solve security problems. Covering the latest developments in practical cryptographic techniques, this new edition shows programmers who design computer applications, networks, and storage systems how they can build security into their software and systems. What's new in the Second Edition? • New information on the Clipper Chip, including ways to defeat the key escrow mechanism • New encryption algorithms, including algorithms from the former Soviet Union and South Africa, and the RC4 stream cipher • The latest protocols for digital signatures, authentication, secure elections, digital cash, and more • More detailed information on key management and cryptographic implementations
…
Recommended by Dominic Steil.
Dominic Steil
One of the five books recommends to young people interested in his career path. [source]
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68
Agile Software Development, Principles, Patterns, and Practices
Robert C. Martin
4.1
Written by a software developer for software developers, this book is a unique collection of the latest software development methods. The author includes OOD, UML, Design Patterns, Agile and XP methods with a detailed description of a complete software design for reusable programs in C++ and Java. Using a practical, problem-solving approach, it shows how to develop an object-oriented application--from the early stages of analysis, through the low-level design and into the implementation. Walks readers through the designer's thoughts -- showing the errors, blind alleys, and creative insights that occur throughout the software design process. The book covers: Statics and Dynamics; Principles of Class Design; Complexity Management; Principles of Package Design; Analysis and Design; Patterns and Paradigm Crossings. Explains the principles of OOD, one by one, and then demonstrates them with numerous examples, completely worked-through designs, and case studies. Covers traps, pitfalls, and work arounds in the application of C++ and OOD and then shows how Agile methods can be used. Discusses the methods for designing and developing big software in detail. Features a three-chapter, in-depth, single case study of a building security system. For Software Engineers, Programmers, and Analysts who want to understand how to design object oriented software with state of the art methods.
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69
Learn You a Haskell for Great Good!
Miran Lipovača
4.1
Learn You a Haskell for Great Good! is a fun, illustrated guide to learning Haskell, a functional programming language that's growing in popularity. Learn You a Haskell for Great Good! introduces programmers familiar with imperative languages (such as C++, Java, or Python) to the unique aspects of functional programming. Packed with jokes, pop culture references, and the author's own hilarious artwork, Learn You a Haskell for Great Good! eases the learning curve of this complex language, and is a perfect starting point for any programmer looking to expand his or her horizons. The well-known web tutorial on which this book is based is widely regarded as the best way for beginners to learn Haskell, and receives over 30,000 unique visitors monthly.
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Recommended by Santiago Basulto.
Santiago Basulto
I love the following books, even though I don’t code in these languages in a daily basis. It’s still interesting to learn the concepts behind them Programming in Scala (Odersky) Learn You a Haskell for Great Good [source]
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70
Fluent Python: Clear, Concise, and Effective Programming
Luciano Ramalho
4.1
Python's simplicity lets you become productive quickly, but this often means you aren't using everything it has to offer. With this hands-on guide, you'll learn how to write effective, idiomatic Python code by leveraging its best and possibly most neglected features. Author Luciano Ramalho takes you through Python's core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
This book covers:
Python data model: understand how special methods are the key to the consistent behavior of objects
Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age
Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns
Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance
Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages
Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work "
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71
Hacking: The Art of Exploitation
Jon Erickson
4.1
Hacking is the art of creative problem solving, whether that means finding an unconventional solution to a difficult problem or exploiting holes in sloppy programming. Many people call themselves hackers, but few have the strong technical foundation needed to really push the envelope.
Rather than merely showing how to run existing exploits, author Jon Erickson explains how arcane hacking techniques actually work. To share the art and science of hacking in a way that is accessible to everyone, Hacking: The Art of Exploitation, 2nd Edition introduces the fundamentals of C programming from a hacker's perspective.
The included LiveCD provides a complete Linux programming and debugging environment-all without modifying your current operating system. Use it to follow along with the book's examples as you fill gaps in your knowledge and explore hacking techniques on your own. Get your hands dirty debugging code, overflowing buffers, hijacking network communications, bypassing protections, exploiting cryptographic weaknesses, and perhaps even inventing new exploits. This book will teach you how to:
Program computers using C, assembly language, and shell scripts Corrupt system memory to run arbitrary code using buffer overflows and format strings Inspect processor registers and system memory with a debugger to gain a real understanding of what is happening Outsmart common security measures like nonexecutable stacks and intrusion detection systems Gain access to a remote server using port-binding or connect-back shellcode, and alter a server's logging behavior to hide your presence Redirect network traffic, conceal open ports, and hijack TCP connections Crack encrypted wireless traffic using the FMS attack, and speed up brute-force attacks using a password probability matrix Hackers are always pushing the boundaries, investigating the unknown, and evolving their art. Even if you don't already know how to program, Hacking: The Art of Exploitation, 2nd Edition will give you a complete picture of programming, machine architecture, network communications, and existing hacking techniques. Combine this knowledge with the included Linux environment, and all you need is your own creativity.
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72
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Geron
4.1
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks-scikit-learn and TensorFlow-author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.
Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details
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Recommended by Mark Tabladillo.
Mark Tabladillo
Book to Start You on Machine Learning - KDnuggets https://t.co/19fdX59b0d This book is “Hands-On Machine Learning with Scikit-Learn & TensorFlow”. each new revision has become an even better version of one of the best in-depth resources to learn Machine Learning by doing. https://t.co/ujyUH3xU3e [source]
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73
Head First Java
Kathy Sierra and Bert Bates
4.1
Learning a complex new language is no easy task especially when it s an object-oriented computer programming language like Java. You might think the problem is your brain. It seems to have a mind of its own, a mind that doesn't always want to take in the dry, technical stuff you're forced to study.
The fact is your brain craves novelty. It's constantly searching, scanning, waiting for something unusual to happen. After all, that's the way it was built to help you stay alive. It takes all the routine, ordinary, dull stuff and filters it to the background so it won't interfere with your brain's real work--recording things that matter. How does your brain know what matters? It's like the creators of the Head First approach say, suppose you're out for a hike and a tiger jumps in front of you, what happens in your brain? Neurons fire. Emotions crank up. Chemicals surge.
That's how your brain knows.
And that's how your brain will learn Java. Head First Java combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. It's fast, it's fun, and it's effective. And, despite its playful appearance, Head First Java is serious stuff: a complete introduction to object-oriented programming and Java. You'll learn everything from the fundamentals to advanced topics, including threads, network sockets, and distributed programming with RMI. And the new. second edition focuses on Java 5.0, the latest version of the Java language and development platform. Because Java 5.0 is a major update to the platform, with deep, code-level changes, even more careful study and implementation is required. So learning the Head First way is more important than ever.
If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. You'll see why people say it's unlike any other Java book you've ever read.
By exploiting how your brain works, Head First Java compresses the time it takes to learn and retain--complex information. Its unique approach not only shows you what you need to know about Java syntax, it teaches you to think like a Java programmer. If you want to be bored, buy some other book. But if you want to understand Java, this book's for you.
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74
Technology Made Simple for the Technical Recruiter, Second Edition: A Technical Skills Primer
Obi Ogbanufe
4.1
If you're a technical recruiter who wants to keep your skills up to date in the competitive field of technical resource placement, you need a detailed guidebook to outpace competitors. This technical skills primer focuses on technology fundamentals-from basic programming terms to big data vocabulary, network lingo, operating system jargon, and other crucial skill sets. Topics covered include -sample questions to ask candidates, -types of networks and operating systems, -software development strategies, -cloud systems administration and DevOps, -data science and database job roles, and -information security job roles. Armed with indispensable information, the alphabet soup of technology acronyms will no longer be intimidating, and you will be able to analyze client and candidate requirements with confidence. Written in clear and concise prose, Technology Made Simple for the Technical Recruiter is an invaluable resource for any technical recruiter.
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75
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
Al Sweigart
4.1
If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online forms
Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.
Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""
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76
Pattern Recognition and Machine Learning
Christopher M. Bishop
4.1
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
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77
Liftoff: Elon Musk and the Desperate Early Days that Launched SpaceX
Eric Berger, Rob Shapiro, and HarperAudio
4.1
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78
Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People
Aditya Bhargava
4.0
An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.
Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to: Write a spell checker using graph algorithms Understand how data compression works using Huffman coding Identify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer instead Each carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.
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79
Seven Languages in Seven Weeks
Bruce Tate
4.0
You should learn a programming language every year, as recommended by The Pragmatic Programmer. But if one per year is good, how about Seven Languages in Seven Weeks? In this book you'll get a hands-on tour of Clojure, Haskell, Io, Prolog, Scala, Erlang, and Ruby. Whether or not your favorite language is on that list, you'll broaden your perspective of programming by examining these languages side-by-side. You'll learn something new from each, and best of all, you'll learn how to learn a language quickly.
Ruby, Io, Prolog, Scala, Erlang, Clojure, Haskell. With Seven Languages in Seven Weeks, by Bruce A. Tate, you'll go beyond the syntax-and beyond the 20-minute tutorial you'll find someplace online. This book has an audacious goal: to present a meaningful exploration of seven languages within a single book. Rather than serve as a complete reference or installation guide, Seven Languages hits what's essential and unique about each language. Moreover, this approach will help teach you how to grok new languages.
For each language, you'll solve a nontrivial problem, using techniques that show off the language's most important features. As the book proceeds, you'll discover the strengths and weaknesses of the languages, while dissecting the process of learning languages quickly--for example, finding the typing and programming models, decision structures, and how you interact with them.
Among this group of seven, you'll explore the most critical programming models of our time. Learn the dynamic typing that makes Ruby, Python, and Perl so flexible and compelling. Understand the underlying prototype system that's at the heart of JavaScript. See how pattern matching in Prolog shaped the development of Scala and Erlang. Discover how pure functional programming in Haskell is different from the Lisp family of languages, including Clojure.
Explore the concurrency techniques that are quickly becoming the backbone of a new generation of Internet applications. Find out how to use Erlang's let-it-crash philosophy for building fault-tolerant systems. Understand the actor model that drives concurrency design in Io and Scala. Learn how Clojure uses versioning to solve some of the most difficult concurrency problems.
It's all here, all in one place. Use the concepts from one language to find creative solutions in another-or discover a language that may become one of your favorites.
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80
Agile Principles, Patterns, and Practices in C#
Robert C. Martin and Micah Martin
4.0
With the award-winning book Agile Software Development: Principles, Patterns, and Practices, Robert C. Martin helped bring Agile principles to tens of thousands of Java and C++ programmers. Now .NET programmers have a definitive guide to agile methods with this completely updated volume from Robert C. Martin and Micah Martin, Agile Principles, Patterns, and Practices in C#.
This book presents a series of case studies illustrating the fundamentals of Agile development and Agile design, and moves quickly from UML models to real C# code. The introductory chapters lay out the basics of the agile movement, while the later chapters show proven techniques in action. The book includes many source code examples that are also available for download from the authors' Web site.
Readers will come away from this book understanding
Agile principles, and the fourteen practices of Extreme Programming Spiking, splitting, velocity, and planning iterations and releases Test-driven development, test-first design, and acceptance testing Refactoring with unit testing Pair programming Agile design and design smells The five types of UML diagrams and how to use them effectively Object-oriented package design and design patterns How to put all of it together for a real-world project Whether you are a C# programmer or a Visual Basic or Java programmer learning C#, a software development manager, or a business analyst, Agile Principles, Patterns, and Practices in C# is the first book you should read to understand agile software and how it applies to programming in the .NET Framework.
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81
Practical Vim: Edit Text at the Speed of Thought
Drew Neil
4.0
Vim is a fast and efficient text editor that will make you a faster and more efficient developer. It's available on almost every OS--if you master the techniques in this book, you'll never need another text editor. Practical Vim shows you 120 vim recipes so you can quickly learn the editor's core functionality and tackle your trickiest editing and writing tasks.
Vim, like its classic ancestor vi, is a serious tool for programmers, web developers, and sysadmins. No other text editor comes close to Vim for speed and efficiency; it runs on almost every system imaginable and supports most coding and markup languages.
Learn how to edit text the "Vim way:" complete a series of repetitive changes with The Dot Formula, using one keystroke to strike the target, followed by one keystroke to execute the change. Automate complex tasks by recording your keystrokes as a macro. Run the same command on a selection of lines, or a set of files.
Discover the "very magic" switch, which makes Vim's regular expression syntax more like Perl's. Build complex patterns by iterating on your search history. Search inside multiple files, then run Vim's substitute command on the result set for a project-wide search and replace. All without installing a single plugin!
You'll learn how to navigate text documents as fast as the eye moves--with only a few keystrokes. Jump from a method call to its definition with a single command. Use Vim's jumplist, so that you can always follow the breadcrumb trail back to the file you were working on before. Discover a multilingual spell-checker that does what it's told.
Practical Vim will show you new ways to work with Vim more efficiently, whether you're a beginner or an intermediate Vim user.
All this, without having to touch the mouse.
What You Need:
Vim version 7
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82
Accelerate: Building and Scaling High-Performing Technology Organizations
Nicole Forsgren PhD
4.0
Does technology actually matter? And how can we apply technology to drive business value? For years, we've been told that the performance of software delivery teams doesn't matter--that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance--and what drives it--using rigorous statistical methods. This book presents both the findings and the science behind that research. Readers will discover how to measure the performance of their teams, and what capabilities they should invest in to drive higher performance.
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Recommended by Kirk Borne.
Kirk Borne
Fantastic accomplishment! Congratulations @nicolefv on your outstanding #DevOps book ... I love that: “The Science of Lean” ... that works also for #DataOps and Lean Analytics. https://t.co/i9gPhKL0dt https://t.co/DNJpuJtER0 [source]
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83
Joel on Software
Joel Spolsky
4.0
Someone once said that the task of a writer is to "make the familiar new and the new familiar". For years, Joel Spolsky has done exactly this at www.joelonsoftware.com. Now, for the first time, you can own a collection of the most important essays from his site in one book, with exclusive commentary and new insights from joel.
Recommended by Ev Williams.
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84
The Protocols (TCP/IP Illustrated, Volume 1)
W. Richard Stevens
4.0
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85
Unix and Linux System Administration Handbook
Evi Nemeth, Garth Snyder, et al.
4.0
"As an author, editor, and publisher, I never paid much attention to the competition--except in a few cases. This is one of those cases. The UNIX System Administration Handbook is one of the few books we ever measured ourselves against." --Tim O'Reilly, founder of O'Reilly Media "This edition is for those whose systems live in the cloud or in virtualized data centers; those whose administrative work largely takes the form of automation and configuration source code; those who collaborate closely with developers, network engineers, compliance officers, and all the other worker bees who inhabit the modern hive." --Paul Vixie, Internet Hall of Fame-recognized innovator and founder of ISC and Farsight Security "This book is fun and functional as a desktop reference. If you use UNIX and Linux systems, you need this book in your short-reach library. It covers a bit of the systems' history but doesn't bloviate. It's just straight-forward information delivered in a colorful and memorable fashion." --Jason A. Nunnelley UNIX(R) and Linux(R) System Administration Handbook, Fifth Edition, is today's definitive guide to installing, configuring, and maintaining any UNIX or Linux system, including systems that supply core Internet and cloud infrastructure. Updated for new distributions and cloud environments, this comprehensive guide covers best practices for every facet of system administration, including storage management, network design and administration, security, web hosting, automation, configuration management, performance analysis, virtualization, DNS, security, and the management of IT service organizations. The authors--world-class, hands-on technologists--offer indispensable new coverage of cloud platforms, the DevOps philosophy, continuous deployment, containerization, monitoring, and many other essential topics. Whatever your role in running systems and networks built on UNIX or Linux, this conversational, well-written �guide will improve your efficiency and help solve your knottiest problems.
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86
Refactoring to Patterns
Joshua Kerievsky
4.0
In 1994, "Design Patterns" changed the landscape of object-oriented development by introducing classic solutions to recurring design problems. In 1999, "Refactoring" revolutionized design by introducing an effective process for improving code. With the highly anticipated " Refactoring to Patterns ," Joshua Kerievsky has changed our approach to design by forever uniting patterns with the evolutionary process of refactoring.
This book introduces the theory and practice of pattern-directed refactorings: sequences of low-level refactorings that allow designers to safely move designs to, towards, or away from pattern implementations. Using code from real-world projects, Kerievsky documents the thinking and steps underlying over two dozen pattern-based design transformations. Along the way he offers insights into pattern differences and how to implement patterns in the simplest possible ways.
Coverage includes: A catalog of twenty-seven pattern-directed refactorings, featuring real-world code examples Descriptions of twelve design smells that indicate the need for this book s refactorings General information and new insights about patterns and refactoringDetailed implementation mechanics: how low-level refactorings are combined to implement high-level patterns Multiple ways to implement the same pattern and when to use each Practical ways to get started even if you have little experience with patterns or refactoring
"Refactoring to Patterns" reflects three years of refinement and the insights of more than sixty software engineering thought leaders in the global patterns, refactoring, and agile development communities. Whether you re focused on legacy or greenfield development, this book will make you a better software designer by helping you learn how to make important design changes safely and effectively. "
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87
The Art of Electronics
Paul Horowitz, Winfield Hill
4.0
This is the thoroughly revised and updated Second Edition of the single, authoritative text and reference on electronic circuit design--both analog and digital. It emphasizes the methods actually used by circuit designers--a combination of some basic laws, rules of thumb, and a large bag of tricks. This completely new edition responds to the breakneck pace of change in electronics with a large number of new and revised topics.
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88
Types and Programming Languages
Benjamin C. Pierce
4.0
A comprehensive introduction to type systems and programming languages.
A type system is a syntactic method for automatically checking the absence of certain erroneous behaviors by classifying program phrases according to the kinds of values they compute. The study of type systems--and of programming languages from a type-theoretic perspective--has important applications in software engineering, language design, high-performance compilers, and security.
This text provides a comprehensive introduction both to type systems in computer science and to the basic theory of programming languages. The approach is pragmatic and operational; each new concept is motivated by programming examples and the more theoretical sections are driven by the needs of implementations. Each chapter is accompanied by numerous exercises and solutions, as well as a running implementation, available via the Web. Dependencies between chapters are explicitly identified, allowing readers to choose a variety of paths through the material.
The core topics include the untyped lambda-calculus, simple type systems, type reconstruction, universal and existential polymorphism, subtyping, bounded quantification, recursive types, kinds, and type operators. Extended case studies develop a variety of approaches to modeling the features of object-oriented languages.
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Recommended by Ana Bell.
Ana Bell
It’s not a book for beginners, but it’s a good book if you’re interested in the theory behind programming languages. [source]
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89
Computer Organization & Design: The Hardware/Software Interface
David A. Patterson, John L. Hennessy
4.0
The performance of software systems is dramatically affected by how well software designers understand the basic hardware technologies at work in a system. Similarly, hardware designers must understand the far-reaching effects their design decisions have on software applications. For readers in either category, this classic introduction to the field provides a look deep into the computer. It demonstrates the relationships between the software and hardware and focuses on the foundational concepts that are the basis for current computer design.
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Recommended by Vicki Boykis.
Vicki Boykis
This is a textbook that covers how computers work from the ground up. It includes hardware, software, and operating systems. It’s a really thick book, but also a really good one! This is the book I’d recommend reading if you missed out on a formal computer science education. [source]
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90
Rapid Development: Taming Wild Software Schedules
Steve McConnell
4.0
A fundamental software engineering project management guide based on the practical requirements of "Taming Wild Software Schedules". Emphasizes possible, realistic and "best practice" approaches for managers, technical leads and self-managed teams. The author emphasizes efficient development concepts with an examination of rapid development strategies and a study of classic mistakes, within the context of software-development fundamentals and risk management. Dissects the core issues of rapid development, lifecycle planning, estimation and scheduling. Contains very good and practical discussions of customer-oriented development, motivation and teamwork. Explains such fundamental requirements as team structure, feature-set control (the dreaded feature creep in every project), availability and use of productivity tools and project recovery options. Relevant case studies are analyzed and discussed within the context of specific software development problems. Over 200 pages in this publication are devoted to a summary of best practices, everything from the daily build and smoke test, through prototyping, model selection, measurement, reuse, and the top-10 risks list.
This publication is definitely recommended and will become a classic in the field, just as the author's prior publication, "Code Complete" already is.
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Recommended by Jeff Atwood.
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91
UML Distilled: A Brief Guide to the Standard Object Modeling Language
Martin Fowler
4.0
More than 300,000 developers have benefited from past editions of UML Distilled. This third edition is the best resource for quick, no-nonsense insights into understanding and using UML 2.0 and prior versions of the UML. Some readers will want to quickly get up to speed with the UML 2.0 and learn the essentials of the UML. Others will use this book as a handy, quick reference to the most common parts of the UML. The author delivers on both of these promises in a short, concise, and focused presentation. This book describes all the major UML diagram types, what they're used for, and the basic notation involved in creating and deciphering them. These diagrams include class, sequence, object, package, deployment, use case, state machine, activity, communication, composite structure, component, interaction overview, and timing diagrams. The examples are clear and the explanations cut to the fundamental design logic. Includes a quick reference to the most useful parts of the UML notation and a useful summary of diagram types that were added to the UML 2.0. If you are like most developers, you don't have time to keep up with all the new innovations in software engineering. This new edition of Fowler's classic work gets you acquainted with some of the best thinking about efficient object-oriented software design using the UML--in a convenient format that will be essential to anyone who designs software professionally.
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92
HTML and CSS: Design and Build Websites
Jon Duckett
4.0
Every day, more and more people want to learn some HTML and CSS. Joining the professional web designers and programmers are new audiences who need to know a little bit of code at work (update a content management system or e-commerce store) and those who want to make their personal blogs more attractive. Many books teaching HTML and CSS are dry and only written for those who want to become programmers, which is why this book takes an entirely new approach.
• Introduces HTML and CSS in a way that makes them accessible to everyone—hobbyists, students, and professionals—and it’s full-color throughout
• Utilizes information graphics and lifestyle photography to explain the topics in a simple way that is engaging
• Boasts a unique structure that allows you to progress through the chapters from beginning to end or just dip into topics of particular interest at your leisure
This educational book is one that you will enjoy picking up, reading, then referring back to. It will make you wish other technical topics were presented in such a simple, attractive and engaging way!
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93
Concrete Mathematics: A Foundation for Computer Science
Ronald L. Graham, Donald E. Knuth, et al.
4.0
Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics. "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."
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94
Effective Modern C++: 42 Specific Ways to Improve Your Use of C++11 and C++14
Scott Meyers
4.0
Coming to grips with C++11 and C++14 is more than a matter of familiarizing yourself with the features they introduce (e.g., auto type declarations, move semantics, lambda expressions, and concurrency support). The challenge is learning to use those features effectively--so that your software is correct, efficient, maintainable, and portable. That's where this practical book comes in. It describes how to write truly great software using C++11 and C++14--i.e. using modern C++.
Topics include:
The pros and cons of braced initialization, noexcept specifications, perfect forwarding, and smart pointer make functions The relationships among std:: move, std:: forward, rvalue references, and universal references Techniques for writing clear, correct, effective lambda expressions How std:: atomic differs from volatile, how each should be used, and how they relate to C++'s concurrency API How best practices in "old" C++ programming (i.e., C++98) require revision for software development in modern C++ Effective Modern C++ follows the proven guideline-based, example-driven format of Scott Meyers' earlier books, but covers entirely new material.
"After I learned the C++ basics, I then learned how to use C++ in production code from Meyer's series of Effective C++ books. Effective Modern C++ is the most important how-to book for advice on key guidelines, styles, and idioms to use modern C++ effectively and well. Don't own it yet? Buy this one. Now".
-- Herb Sutter, Chair of ISO C++ Standards Committee and C++ Software Architect at Microsoft
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95
More Effective C++: 35 New Ways to Improve Your Programs and Designs, PDF Version
Scott Meyers
4.0
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96
Thinking in Java
Bruce Eckel
4.0
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97
High Performance Browser Networking
Ilya Grigorik
4.0
How prepared are you to build fast and efficient web applications? This eloquent book provides what every web developer should know about the network, from fundamental limitations that affect performance to major innovations for building even more powerful browser applications—including HTTP 2.0 and XHR improvements, Server-Sent Events (SSE), WebSocket, and WebRTC.
Author Ilya Grigorik, a web performance engineer at Google, demonstrates performance optimization best practices for TCP, UDP, and TLS protocols, and explains unique wireless and mobile network optimization requirements. You’ll then dive into performance characteristics of technologies such as HTTP 2.0, client-side network scripting with XHR, real-time streaming with SSE and WebSocket, and P2P communication with WebRTC.
Deliver superlative TCP, UDP, and TLS performance Speed up network performance over 3G/4G mobile networks Develop fast and energy-efficient mobile applications Address bottlenecks in HTTP 1.x and other browser protocols Plan for and deliver the best HTTP 2.0 performance Enable efficient real-time streaming in the browser Create efficient peer-to-peer videoconferencing and low-latency applications with real-time WebRTC transports
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98
NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence
Pramod J. Sadalage
4.0
The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational "NoSQL" databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, and are easier to program." ""NoSQL Distilled" is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS. The authors provide a fast-paced guide to the concepts you need to know in order to evaluate whether NoSQL databases are right for your needs and, if so, which technologies you should explore further. The first part of the book concentrates on core concepts, including schemaless data models, aggregates, new distribution models, the CAP theorem, and map-reduce. In the second part, the authors explore architectural and design issues associated with implementing NoSQL. They also present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j. In addition, by drawing on Pramod Sadalage's pioneering work, "NoSQL Distilled" shows how to implement evolutionary design with schema migration: an essential technique for applying NoSQL databases. The book concludes by describing how NoSQL is ushering in a new age of Polyglot Persistence, where multiple data-storage worlds coexist, and architects can choose the technology best optimized for each type of data access.
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99
Technical Manual and Dictionary of Classical Ballet
Gail Grant
4.0
"Miss Grant has made more information available in one book than we have ever had before. Teacher's organizations would do well to consider the use of Miss Grant's Technical Manual as an official textbook." — Dance Magazine Teacher recommended, Gail Grant's Technical Manual has long been one of the most popular and effective ballet reference guides. Completely revised and updated, this third edition is virtually a new work and should be owned by every student, dance teacher, choreographer, and ballet enthusiast — even those who purchased the second edition. Extensive revision, expansion, and the inclusion of more than 300 new terms have added immeasurably to the value of this concise, definitive manual. Moving from "abstract ballet" and "adage, adagio" to "working leg" and "wrapped position," the book fully describes and defines over 1,100 ballet steps (saul de chat, jeté enveloppé, failli, entrechat six, etc.), movements and poses (arabesque, épaulement, attitude, en arrière, retiré, à terre, dégagé, etc.), and other expressions and concepts. For each, first a phonetic transcription is provided, then a literal translation, and finally an explanation of how the step is performed, the pose captured, or the movement executed, of how the concept fits in with actual ballet dancing, or of the purpose or function of the idea. A pronunciation guide, cross-references to alternate names for similar steps and positions that vary from the Russian to the French or Italian schools, and a bibliography are all invaluable aids. But the most important supplement is the 15-page pictorial section, drawn by the author, who is both a successful ballet teacher and dancer. Keyed to the dictionary (and vice-versa), these diagrams show clearly the exact foot, leg, arm, and body positions for the proper execution of many of the more common ballet steps and movements. This essential and easy reference is a must for every teacher, aspiring dancer, and ballet class.
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100
JavaScript Patterns
Stoyan Stefanov
4.0
What's the best approach for developing an application with JavaScript? This book helps you answer that question with numerous JavaScript coding patterns and best practices. If you're an experienced developer looking to solve problems related to objects, functions, inheritance, and other language-specific categories, the abstractions and code templates in this guide are ideal -- whether you're writing a client-side, server-side, or desktop application with JavaScript.
Written by JavaScript expert Stoyan Stefanov -- Senior Yahoo! Technical and architect of YSlow 2.0, the web page performance optimization tool -- JavaScript Patterns includes practical advice for implementing each pattern discussed, along with several hands-on examples. You'll also learn about anti-patterns: common programming approaches that cause more problems than they solve.
Explore useful habits for writing high-quality JavaScript code, such as avoiding globals, using single var declarations, and more Learn why literal notation patterns are simpler alternatives to constructor functions Discover different ways to define a function in JavaScript Create objects that go beyond the basic patterns of using object literals and constructor functions Learn the options available for code reuse and inheritance in JavaScript Study sample JavaScript approaches to common design patterns such as Singleton, Factory, Decorator, and more Examine patterns that apply specifically to the client-side browser environment
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