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Python for Data Analysis, 2e Paperback – 3 Nov 2017

4.0 out of 5 stars 1 customer review
ISBN-13: 978-1491957660 ISBN-10: 1491957662 Edition: 2nd

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Product details

  • Paperback: 522 pages
  • Publisher: O'Reilly Media, Inc, USA; 2 edition (3 November 2017)
  • Language: English
  • ISBN-10: 1491957662
  • ISBN-13: 978-1491957660
  • Product Dimensions: 17.8 x 3.3 x 23.1 cm
  • Boxed-product Weight: 839 g
  • Average Customer Review: 4.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: 10,844 in Books (See Top 100 in Books)

Product description

About the Author

Wes McKinney is a New York?based software developer and entrepreneur. After finishing his undergraduate degree in mathematics at MIT in 2007, he went on to do quantitative finance work at AQR Capital Management in Greenwich, CT. Frustrated by cumbersome data analysis tools, he learned Python and started building what would later become the pandas project. He's now an active member of the Python data community and is an advocate for the use of Python in data analysis, finance, and statistical computing applications.



Wes was later the co-founder and CEO of DataPad, whose technology assets and team were acquired by Cloudera in 2014. He has since become involved in big data technology, joining the Project Management Committees for the Apache Arrow and Apache Parquet projects in the Apache Software Foundation. In 2016, he joined Two Sigma Investments in New York City, where he continues working to make data analysis faster and easier through open source software.


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27 December 2018
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Amazon.com: 4.2 out of 5 stars 76 reviews
Ocean Horizon
5.0 out of 5 starsProvides the Python tools for implementing machine learning algorithms...
8 January 2018 - Published on Amazon.com
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25 people found this helpful
Ocean State Prime
3.0 out of 5 starsless than what I had hoped
31 July 2018 - Published on Amazon.com
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22 people found this helpful
Saurabh
1.0 out of 5 starspoor explanations and uses random numbers for examples
17 April 2018 - Published on Amazon.com
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25 people found this helpful
Lucas
5.0 out of 5 starsVery simple ,well designed practical book. Recommend to beginners and Intermediates
7 December 2017 - Published on Amazon.com
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25 people found this helpful
Christopher
5.0 out of 5 starsAwesome Book to Gain Practical Data Skills with Python
5 April 2019 - Published on Amazon.com
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5 people found this helpful