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

4.5 out of 5 stars 238 ratings

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Product details

  • Paperback: 522 pages
  • Publisher: O'Reilly Media, Inc, USA; 2nd ed. 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: 1.2 Kg
  • Customer Reviews: 3.5 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: 14,232 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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4.5 out of 5 stars
4.5 out of 5
238 customer ratings
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Reviewed in Australia on 27 December 2018
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Reviewed in Australia on 20 February 2020
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Top international reviews

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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17 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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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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Mr. F. Culfaz
5.0 out of 5 stars Essential for cleanInf data.
Reviewed in the United Kingdom on 11 October 2018
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Jason and Gilly sprott
5.0 out of 5 stars Great book and handy pandas desktop reference
Reviewed in the United Kingdom on 21 June 2019
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Docpappy
5.0 out of 5 stars Great book but printed in black and white
Reviewed in the United Kingdom on 31 August 2018
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3 people found this helpful
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Khan
5.0 out of 5 stars Hurry Up and Buy the Thing
Reviewed in the United Kingdom on 9 January 2020
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[an IT company]
5.0 out of 5 stars The standard text for pandas
Reviewed in the United Kingdom on 29 September 2019
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1.0 out of 5 stars Freezes my Kindle
Reviewed in the United Kingdom on 4 April 2019
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5.0 out of 5 stars Great
Reviewed in the United Kingdom on 28 December 2018
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Akintokunbo
4.0 out of 5 stars Value for Money
Reviewed in the United Kingdom on 15 November 2018
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5.0 out of 5 stars Loved it
Reviewed in the United Kingdom on 2 September 2018
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LP
5.0 out of 5 stars Excellent python book
Reviewed in the United Kingdom on 18 January 2020
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Ax14shopper
5.0 out of 5 stars Great book
Reviewed in the United Kingdom on 21 November 2018
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Amer
5.0 out of 5 stars Python
Reviewed in the United Kingdom on 20 July 2018
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