Murach's Python for Data Science, 2nd Ed (Murach)
Wednesday, 05 June 2024

This book shows how to use Python libraries to get, clean, prepare, and analyze data at a professional level. Scott McCoy starts by showing how to use Pandas for data analysis and Seaborn for data visualization. He then goes on to show how to use Scikit-learn to create regression models that can be used to make predictions. To tie everything together, this book contains four realistic analyses that use real-world data.

<ASIN:1943873178 >


Author: Scott McCoy
Publisher: Mike Murach and Associates
Date: May 2024
Pages: 592
ISBN: 978-1943873173
Print: 1943873178
Audience: Python developers
Level: Intermediate
Category: Python


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

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Seriously Good Software

Author: Marco Faella
Publisher: Manning
Date: March 2020
Pages: 328
ISBN: 978-1617296291
Print: 1617296295
Kindle: B09782DKN8
Audience: Relatively experienced Java programmers
Rating: 4.5
Reviewer: Mike James
Don't we all want to write seriously good software?

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Author: Rick Battagline
Publisher: No Starch
Date: May 2021
Pages: 304
ISBN: 978-1718501447
Print: 1718501447
Kindle: B08TSYXJTS
Audience: WebAssembly developers
Rating: 5
Reviewer: Ian Elliot
WebAssembly is the coming thing - or so we are told.

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