# 100 Best Algorithms Books of All Time

We've researched and ranked the best algorithms books in the world, based on recommendations from world experts, sales data, and millions of reader ratings. Learn more

Hadley WickhamThis book is an illustration of the power of names in the Google era. (Source)

**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... more

Doug McMillonHere 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)

Sriram Krishnan@rabois @nealkhosla Yes! Love that book (Source)

Chris OliverThis 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)

*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,... more

Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply... more

Carefully chosen... more

If you were accused of a crime, who would you rather decide your sentence—a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many lives as possible and another that prioritizes the lives of its own passengers? And would you agree to share your family’s full medical history if you were told that it would help researchers find a cure for... more

David SmithDarroch: “The best book I’ve read recently is called Hello World... It’s about the impact of algorithms across different areas... For me this was the best piece of learning I’ve done in recent months.” (Source)

Jim Al-KhaliliThe fact is, the age of AI is coming fast, and we need to be ready for it. This book will help you decide how worried you should be. (Source)

Max LevchinI have a certain permanent love for [the author]'s magnum opus. (Source)

Max LevchinEasier to read [than "The Art of Computer Programming"] end-to-end quickly. (Source)

Hadley WickhamThe 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)

**Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

James StanleyI 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... (Source)

**introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.**

**Algorithm Design**August 6, 2009

**Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age.**

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*Algorithms in a Nutshell*describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance.

With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major... more

Invisible Women shows us how, in a world largely built for and by men, we are systematically ignoring half the population. It exposes the gender data gap – a gap in our knowledge that is at the root of perpetual, systemic discrimination against... more

Konnie Huq@FenTiger697 @WokingAmnesty @CCriadoPerez @Hatchards @radioleary Brilliant book by the brilliant @CCriadoPerez 😍 (Source)

Feminist Next Door@Rockmedia Awesome book (Source)

Nigel ShadboltInvisible Women is an exposé of just how much of the world around us is designed around the default male. Deploying a huge range of data and examples, Caroline Criado Perez, who is a writer, broadcaster and award winning campaigner, presents on overwhelming case for change. Every page is full of facts and data that support her fundamental contention that in a world built for and by men, gender... (Source)

**Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

Concise and to the point — the book can be read during a week. During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.

Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.

more

Kirk BorneRecent top-selling books in #AI & #MachineLearning: https://t.co/Ij9I7SzR4d ————— #BigData #DataScience #DataMining #Algorithms #PredictiveAnalytics #Python ————— ...in the TOP 10: 1)The Hundred-Page ML Book: https://t.co/dQ7nP6gwP0 2)Hands-on ML with...: https://t.co/Y0Iz3GbtGP https://t.co/72rAFN1FwW (Source)

*The Singularity Is Near*portrays what life will be like after this event--a human-machine civilization where our experiences shift from real reality to virtual reality and where our intelligence becomes nonbiological and... more

Mark O'ConnellI wouldn’t be the first to look at him this way but I read Kurzweil’s work as essentially a work of religious mysticism. I think there’s no other way to read it, really. (Source)

Antonio EramThis book was recommended by Antonio when asked for titles he would recommend to young people interested in his career path. (Source)

Steve AokiIt opened me up to the idea of science fiction becoming science fact. (Source)

*The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming.*-

*Byte*, September 1995

*I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up.*-Charles Long

*If you think you're a really good programmer... read [Knuth's]*Art of Computer Programming...

*You should definitely send me a resume if you can...*more

*The rousing story of the last gasp of human agency and how today’s best and brightest minds are endeavoring to put an end to it.*

It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their... more

*Longlisted for the National Book Award*

New York Times*Bestseller*A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric

We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we get a car loan, how much we pay for health insurance--are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is... more

Paula BoddingtonHow the use of algorithms has affected people’s lives and occasionally ruined them. (Source)

Ramesh SrinivasanThis book is a really fantastic analysis of how quantification, the collection of data, the modelling around data, the predictions made by using data, the algorithmic and quantifiable ways of predicting behaviour based on data, are all built by elites for elites and end up, quite frankly, screwing over everybody else. (Source)

In

*Algorithms of Oppression*, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities,... more

Sherrilyn IfillIt's our first Thurgood Marshall Institute podcast. A terrific discussion with Professor @safiyanoble, author of the must read book Algorithms of Oppression. Listen. @TMI_LDF https://t.co/6eq51hhrJH (Source)

*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... more

**The Art of Computer Programming, Volume 4A: Combinatorial Algorithms, Part 1**

**Knuth's multivolume analysis of algorithms is widely recognized as the definitive description of classical computer science. The first three volumes of this work have long comprised a unique and invaluable resource in programming theory and practice. Scientists have marveled at the beauty and elegance of Knuth's analysis, while practicing programmers have successfully applied his "cookbook" solutions to their day-to-day problems.**

*The level of these first three volumes has remained so high, and they...*more

**Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful--possibly beyond our control. As the fate of the... more

Maria RamosRamos will take the summer to examine some of the questions weighing more heavily on humankind as we contemplate our collective future: what happens when we can write our own genetic codes, and what happens when we create technology that is meaningfully more intelligent than us. The Gene: An Intimate History—Siddhartha Mukherjee Superintelligence: Paths, Dangers, Strategies—Nick Bostrom The... (Source)

Will MacAskillI picked this book because the possibility of us developing human-level artificial intelligence, and from there superintelligence—an artificial agent that is considerably more intelligent than we are—is at least a contender for the most important issue in the next two centuries. Bostrom’s book has been very influential in effective altruism, lots of people work on artificial intelligence in order... (Source)

*Data Structures and Algorithms*is unified by an informal notion of "abstract data types," allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal. less

Santiago BasultoIf 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)

Ana BellCode 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)

**Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

The content is identical.

This is the

**Java**version of our book. See our website for links to the

**C++**version. Have you ever...

Wanted to work at an

**exciting futuristic company**?

**Struggled with an interview problem**that could have been solved in 15 minutes?

Wished you could study

**real-world computing problems**?

If so,... more

**Python**version of our book. See the website for links to the

**C++**and

**Java**version.Have you ever...

Wanted to work at an

**exciting futuristic company**?

**Struggled with an interview problem**thatcould have been solved in 15 minutes?

Wished you could study

**real-world computing problems**?

If so, you need to read

**Elements of Programming Interviews**(EPI).

EPI is your comprehensive guide to interviewing for software development roles.

The core of EPI is a collection of over 250 problems with... more

Have you ever...

Wanted to work at an exciting futuristic company? Struggled with an interview problem that could have been solved in 15 minutes? Wished you could study real-world computing problems?

If so, you need to read Elements of Programming Interviews (EPI).

The... more

**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... more

Nassim Nicholas TalebVery 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)

Satya NadellaElon 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)

*How to Solve It*will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be "reasoned" out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem. less

**Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

**Gregory Zuckerman, the bestselling author of**

*The Greatest Trade Ever*and*The Frackers*, answers the question investors have been asking for decades: How did Jim Simons do it?*Shortlisted for the*Financial Times*/McKinsey Business Book of the Year Award*Jim Simons is the greatest money maker in modern financial history. No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm... more

Abhishek Kar@Singh7575 ~The man who solved the market Nice book and interesting insights from Jim's life. Read it last month. Happy reading👍 (Source)

Steve BurnsThe new book on Jim Simons is in my top 5 favorite trading books of all time ⭐️⭐️⭐️⭐️⭐️ It is already the #19 best seller in Amazon nonfiction The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution Kindle Edition by Gregory Zuckerman https://t.co/FAZFigNNXy https://t.co/Jjz38Qpdnu (Source)

*Data Structures and Algorithms in Java, Second Edition* is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are...

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... more

Evan WilliamsI 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)

Yukihiro MatsumotoSince programmers create programs out of nothing, imagination is our only limitation. Thus, in the world of programming, the hero is the one who has great vision. Paul Graham is one of our contemporary heroes. He has the ability to embrace the vision, and to express it plainly. His works are my favorites, especially the ones describing language design. He explains secrets of programming,... (Source)

Chris AndersonA 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)

**A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own**

In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In

*The Master Algorithm*, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and... more

Vinod KhoslaIf you want speculation about what the master AI might need (one view). For a slightly more technical read, I’d suggest Ian Goodfellows Deep Learning. (Source)

**presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include... more**

*Introduction to the Design and Analysis of Algorithms***Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

In

*Technically Wrong*, Sara Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use—and to demand more from the companies behind them.

A

*Wired*Top... more

**A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.**

This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and... more

This highly anticipated revision builds upon the strengths of the previous edition. Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.

less**Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

**is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as**

*Data Structures and Algorithms in Python**Data Structures and Algorithms in Java*and

*Data Structures and...*more

**A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.**

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering... more

Kirk Borne[Book] #MachineLearning — a Probabilistic Perspective: https://t.co/wAZwLoUFGF ———— #BigData #Statistics #DataScience #DeepLearning #AI #Algorithms #StatisticalLiteracy #Mathematics #abdsc ——— ⬇Get this brilliant 1100-page 28-chapter highly-rated book: https://t.co/Tm2zchpHSu https://t.co/jprUDdzkj8 (Source)

"…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... more

Dominic Steil[One of the five books recommends to young people interested in his career path.] (Source)

From video games to movies, mazes are... more

This practical book... more

Kirk BorneGreat book: "Graph Algorithms: Practical Examples in #ApacheSpark and @Neo4j" by @amyhodler & @markhneedham, with the Foreward by me😎 ———— Get FREE PDF copy: https://t.co/61yQgYUrud ———— #GraphAnalytics #BigData #GraphDB #LinkedData #SmartData #DataScience #AI #MachineLearning https://t.co/BQaK75O7mP (Source)

In Book 1, you'll plumb Windows fundamentals, independent of platform - server, desktop, tablet, phone, Xbox. Coverage focuses on high-level functional descriptions of the various Windows components and features that interact with, or are manipulated by, user mode programs, or... more

Rob Fuller@maddiestone Awesome book, I've read a couple editions and always learn new things. Have fun ;-) I would also recommend reading the older editions they have tricks and info that seem to disappear in newer ones. (Source)

**Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

**A friendly and accessible introduction to the most useful algorithms**

Computer algorithms are the basic recipes for programming. Professional programmers need to know how to use algorithms to solve difficult programming problems. Written in simple, intuitive English, this book describes how and when to use the most practical classic algorithms, and even how to create new algorithms to meet future needs. The book also includes a collection of questions that can help readers prepare for a programming job interview.

Reveals methods for manipulating common data... more

*Mastering Algorithms with C*offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract style of most classic data structures and algorithms texts, but still provides all of the information you need to understand the purpose and use of common programming techniques.

Implementations, as well as interesting, real-world examples of each data structure and algorithm, are... more

*Rise of the Robots*, Silicon Valley entrepreneur Martin Ford argues that this is absolutely not the case. As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence is already well on its way to making “good jobs” obsolete: many... more

Matthew BarbyOn the other side of things, which is a bit more like inspirational and a bit more tactical, it would probably be Rise of the Robots. Focuses all on the rise of artificial intelligence. Has some really interesting pieces on how people are disrupting in a bunch of different verticals for like ED Tech, health, 3D printing, and a bunch of other areas, and the impact that that has on jobs in the... (Source)

You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the... more

Francesco MarconiTop programming languages ranked by its annual search engine popularity. Python has gained momentum because of its importance to machine learning development. At @WSJ we are using it to build tools for journalists. Tip: this is a great book for anyone who wants to get started! https://t.co/ZsHjqB5gvC (Source)

Daniel H WilsonYes, Machine Learning is a textbook and I would call it the textbook for machine learning and artificial intelligence. Machine learning is just the math of teaching a machine how to solve a problem on its own, because you’re not going to be able to be there to solve it for the machine. It can be any kind of problem: it could be a robot that needs to figure out how to get from point A to point B... (Source)

Sample Chapter: goo.gl/8AEcYk

Source Code: goo.gl/L8Xxdt

It is the Python version of "Data Structures and Algorithms Made Easy".

The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style.

This... more

*Algorithmic Puzzles*, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures.

The book's unique collection of puzzles is supplemented with... more

Named for computer pioneer Alan Turing, the Turing Test convenes a panel of judges who pose questions—ranging anywhere from celebrity gossip to moral conundrums—to hidden contestants in an attempt to discern which is human and which is a computer. The machine that most often fools... more

**Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.

Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science's AI program, demonstrates key ML concepts with code snippets,... more

**Rewire your brain**

*Examples in this book are written in C++, but will improve your ability to think like a programmer in any language.*

The real challenge of programming isn't learning a language's syntax—it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to

*Think Like a Programmer*. Each chapter tackles a single programming concept, like classes, pointers, and... more

Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in... more

**more**

*Algorithms in C, Third Edition, Part 5: Graph...***Don't have time to read the top Algorithms books of all time? Read Shortform summaries.**

Shortform summaries help you learn 10x faster by:

- Being comprehensive: you learn the
**most important points in the book** - Cutting out the fluff: you focus your time on what's important to know
- Interactive exercises:
**apply the book's ideas to your own life**with our educators' guidance.