The Hitchhiker's Guide to Python
Best Practices for Development
by Kenneth Reitz
Should I read this?
appears in Python, Programming, and Technology.
The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversityand possibly dilution.This g...
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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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Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.