Python in a Nutshell
A Desktop Quick Reference
by Alex Martelli
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Should I read this?
appears in Python, Programming, and Technology.
Useful in many roles, from design and prototyping to testing, deployment, and maintenance, Python is consistently ranked among today's most popular Programming, languages. The third edition of this practical book provides a quick reference to the languageincluding Python 3.5, 2.7, and highlights of 3.6commonly used areas of its vast standard lib...
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appears in Python, Programming, and Technology.
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Not sure if this is the right fit?
Consider Python Machine Learning by Sebastian Raschka. Recommended by 2 sources.
“Python Machine Learning pairs concise algorithm descriptions with runnable Python examples and a linked GitHub repository. Early chapters are directly practical if you follow the notebooks; later sections compress derivations and long code walkthroughs that demand slower, hands-on reading. The clearest payoff comes from adapting the examples to your own data rather than passive skimming. Expect a utilitarian finish: usable code snippets and clearer implementation patterns, but not a gentle, classroom-style sequence of exercises.”
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