Python Pocket Reference
Python In Your Pocket (Pocket Reference (O'Reilly))
by Mark Lutz
Should I read this?
appears in Python, Programming, and Technology.
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect onthejob quick reference. You?ll find concise, needtoknow information on Python types and statements, special method names, builtin functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoin...
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Why recommended
appears in Python, Programming, and Technology.
Recommendation Signals
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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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