- Paperback: 330 pages
- Publisher: O'Reilly Media; 1 edition (April 30, 2015)
- Language: English
- ISBN-10: 149190142X
- ISBN-13: 978-1491901427
- Product Dimensions: 7 x 0.7 x 9.2 inches
- Shipping Weight: 1.2 pounds (View shipping rates and policies)
- Average Customer Review: 97 customer reviews
- Amazon Best Sellers Rank: #7,684 in Books (See Top 100 in Books)
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Data Science from Scratch: First Principles with Python 1st Edition
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Python Data Science Handbook
|What You Need to Know about Data Mining and Data-Analytic Thinking||First Principles with Python||Straight Talk from the Frontline||Visualize, Model, Transform, Tidy, and Import Data||Facing the Future with Time-Tested Tools||Tools and Techniques for Developers|
About the Author
Joel Grus is a software engineer at Google. Before that he worked as a data scientist at multiple startups. He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com.
Top customer reviews
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It's the right size and correct coverage for the content and the author's sense of humor (indeed, that of a data scientist) resonates with the audience.
Solid introduction, even better review or brief explanation of commonly encountered topics.
One of the best O'Reilly books I've read in a long time-- in fact, a technical book at the level I used to expect from O'Reilly.