Data Science from Scratch (O'Reilly)
Tuesday, 12 May 2015

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch with Python. If you have an aptitude for mathematics and some programming skills, Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with provides a crash course in Python to implement them. 

<ASIN:149190142X>

Author: Joel Grus
Publisher: O'Reilly 

Date: April 30, 2015
Pages: 330
ISBN: 9781491901427
Print: 149190142X
Kindle: B00W4DTP2A

Category: Data Science; Python
Level: Introductory

 

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Date: June 2023
Pages: 560
ISBN: 978-1718503106
Print: 1718503105
Kindle: B0B7QTX8LL
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Rating: 4.8
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Publisher: Manning
Date: June 2021
Pages: 384
ISBN: 978-1617296130
Print: 1617296139
Kindle: B098BNK1T9
Audience: Developers interested in quantum computing
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Reviewer: Mike James
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