Python for Data Science for Dummies
by John Paul Mueller, Luca Massaron
Should I read this?
appears in Python and Data Science.
The fast and easy way to learn Python Programming, and statisticsPython is a generalpurpose Programming, language created in the late 1980sand named after Monty Pythonthat's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.Python For Data Science For...
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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.