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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by [Wes McKinney]

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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Kindle Edition

4.6 out of 5 stars 795 ratings

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Length: 885 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

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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.

--This text refers to the paperback edition.

Product details

  • ASIN : B075X4LT6K
  • Publisher : O'Reilly Media; 2 edition (25 September 2017)
  • Language : English
  • File size : 21870 KB
  • Simultaneous device usage : Unlimited
  • Text-to-Speech : Enabled
  • Enhanced typesetting : Enabled
  • X-Ray : Not Enabled
  • Word Wise : Not Enabled
  • Print length : 885 pages
  • Customer Reviews:
    4.6 out of 5 stars 795 ratings
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4.6 out of 5 stars
4.6 out of 5
795 global ratings
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Top reviews from Australia

Reviewed in Australia on 27 December 2018
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Reviewed in Australia on 20 February 2020
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Top reviews from other countries

darkFunction
5.0 out of 5 stars Definitely required material for diving into Python machine learning
Reviewed in the United Kingdom on 17 August 2018
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24 people found this helpful
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Mr C.
3.0 out of 5 stars No longer required?
Reviewed in the United Kingdom on 19 November 2019
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17 people found this helpful
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Pav
3.0 out of 5 stars Content good. Print quality bad!
Reviewed in the United Kingdom on 31 May 2020
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7 people found this helpful
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mr d k stuckey
5.0 out of 5 stars Wes is a great writer and teacher
Reviewed in the United Kingdom on 8 August 2018
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7 people found this helpful
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akhan
2.0 out of 5 stars Good reference book but thats about it!
Reviewed in the United Kingdom on 2 July 2020
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