
Intro to Python for Computer Science and Data Science
Learning to Program with AI, Big Data and The Cloud
by Paul J. Deitel
Should I read this?
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For introductorylevel Python Programming, and/or datascience courses. A groundbreaking, flexible approach to computer science and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python Programming,, appropria...
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Not sure if this is the right fit?
Consider Effective Python by Brett Slatkin.
“Effective Python feels like a curated catalog of short, practical rules for writing clearer Python 3 code, each backed by a brief explanation and code example. Most useful are the immediate, copy-to-editor recommendations and the checklists you can use during code reviews to avoid common pitfalls. The limitation is relentless micro-focus: many entries dig into syntax-level limitations or edge cases that read as prescriptive and sometimes repetitive. It assumes working knowledge of Python and provides no hands-on exercises, so it works best as reference and polish rather than stepwise training.”
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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.
