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Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython
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Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython Paperback - 2017 - 2nd Edition

by William McKinney


Details

  • Title Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython
  • Author William McKinney
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Pages 547
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media
  • Date 2017-09
  • ISBN 9781491957660 / 1491957662
  • Weight 1.91 lbs (0.87 kg)
  • Dimensions 9.19 x 7 x 1.11 in (23.34 x 17.78 x 2.82 cm)
  • Library of Congress subjects Data mining, Programming languages (Electronic computers)
  • Dewey Decimal Code 005.133

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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