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Data Science from Scratch: First Principles with Python Paperback – 30 April 2019

4.5 out of 5 stars 480 ratings
Edition: 2nd

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From the Publisher

Data Science, Business Data Science from Scratch Data Science, big data R, Data Science, r programming Data Science ,Command Line Python, Data Science
Data Science for Business Data Science from Scratch Doing Data Science R for Data Science Data Science at the Command Line 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

Product description

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.

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Product details

  • Publisher ‏ : ‎ O'Reilly Media, Inc, USA; 2 edition (30 April 2019)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 500 pages
  • ISBN-10 ‏ : ‎ 1492041130
  • ISBN-13 ‏ : ‎ 978-1492041139
  • Dimensions ‏ : ‎ 17.53 x 2.29 x 23.11 cm
  • Customer Reviews:
    4.5 out of 5 stars 480 ratings

About the author

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Joel Grus is Principal Engineer at Capital Group, where he leads a small team that designs and implements machine learning and data products. Before that he was a software engineer at the Allen Institute for AI and Google, and a data scientist at a variety of startups.

He's the author of the the beloved "Data Science from Scratch", the quirky "Ten Essays on Fizz Buzz", and the polarizing JupyterCon talk "I Don't Like Notebooks".

He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com.

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4.5 out of 5 stars
4.5 out of 5
480 global ratings

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Top reviews from Australia

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Reviewed in Australia on 16 September 2020
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Reviewed in Australia on 23 July 2020
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Top reviews from other countries

Martin
2.0 out of 5 stars The Paperback is black & white and very poor quality
Reviewed in the United Kingdom on 25 August 2020
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Martin
2.0 out of 5 stars The Paperback is black & white and very poor quality
Reviewed in the United Kingdom on 25 August 2020
The paperback unfortunately was not printed in colour, only a low resolution black & white, which I was very disappointed with for an O'Reilly book. Colour conveys important information in a book like this.
Without colour coding in the graphs, and with syntax highlighting missing for the code segments, it makes the book very difficult to read.

I'm sure the book itself is great, and I'm looking forward to reading the ePub instead.
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16 people found this helpful
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El Chubinebrae
4.0 out of 5 stars Good book, bit pricey though.
Reviewed in the United Kingdom on 15 October 2020
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5 people found this helpful
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MR S S DADWAL
3.0 out of 5 stars Misreported
Reviewed in the United Kingdom on 25 January 2021
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7 people found this helpful
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Velvetytoast
5.0 out of 5 stars Very good ground up approach to the subject
Reviewed in the United Kingdom on 25 January 2020
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3 people found this helpful
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Ed
5.0 out of 5 stars Very good book
Reviewed in the United Kingdom on 2 January 2020
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4 people found this helpful
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