Foundations of Data Science with Python (CRC Press)
Wednesday, 13 March 2024

This book introduces the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. John M. Shea uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets.

<ASIN:1032350423>

The book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming.

Author: John M. Shea
Publisher: Chapman and Hall/CRC
Date: February 2024
Pages: 502
ISBN: 978-1032350424
Print: 1032350423
Kindle: ‎ B0CTCQR2BS
Audience: Python developers interested in data science
Level: Intermediate
Category: Python and Data Science

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For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For recommendations of books on data science see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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Pages: 800
ISBN: 978-1119884408
Print: 1119884403
Kindle: B0B1BLY87B
Audience: Novice programmers
Rating: 3
Reviewer: Kay Ewbank

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Author:  Donis Marshall
Publisher: Addison-Wesley
Pages: 400
ISBN: 978-0137889655
Print: 0137889658
Kindle: B0CLL1TGVT
Audience: Programmers wanting to learn Rust
Rating: 3
Reviewer: Mike James
Rust is the language we all want to learn at the moment so this is just in time.


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