Python Data Science Handbook
Tools and Techniques for Developers
Recommended by Kirk Borne, and 2 others. See all reviewsRanked #4 in Github, Ranked #7 in Data Science — see more rankings.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing... more
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing... more
Reviews and Recommendations
We've comprehensively compiled reviews of Python Data Science Handbook from the world's leading experts.
Kirk Borne ✨🎉🌟Must see this >> Free #Python #DataScience Coding book series for #DataScientists ...via @DataScienceCtrl Go to https://t.co/To10VVZzIl ——————— #abdsc #BigData #MachineLearning #AI #DeepLearning #BeDataBrilliant #DataLiteracy https://t.co/Msuo1jiZSm (Source)
Rankings by Category
Python Data Science Handbook is ranked in the following categories:
- #38 in Big Data
- #24 in Databases
- #28 in Machine Learning
- #10 in Python
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