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Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data
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Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists Paperback - 2010

by Philipp Janert

Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. Janert teaches readers how to "think" about data: how to effectively approach data analysis problems, and how to extract all of the available information from data.


Details

  • Title Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
  • Author Philipp Janert
  • Binding Paperback
  • Edition [ Edition: first
  • Pages 530
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media
  • Date 2010-12-28
  • Illustrated Yes
  • Features Illustrated, Index, Price on Product - Canadian
  • ISBN 9780596802356 / 0596802358
  • Weight 1.85 lbs (0.84 kg)
  • Dimensions 9.2 x 7 x 1.4 in (23.37 x 17.78 x 3.56 cm)
  • Library of Congress subjects Open source software, Data mining - Computer programs
  • Dewey Decimal Code 005.3

Media reviews

Citations

  • Reference and Research Bk News, 02/01/2011, Page 247

About the author

After previous careers in physics and softwaredevelopment, Philipp K. Janert currentlyprovides consulting services for data analysis, algorithm development, and mathematical modeling.He has worked for small start-ups and in largecorporate environments, both in the U.S. andoverseas. He prefers simple solutions that workto complicated ones that don't, and thinks thatpurpose is more important than process. Philippis the author of Gnuplot in Action - UnderstandingData with Graphs (Manning Publications), and haswritten for the O'Reilly Network, IBM developerWorks, and IEEE Software. He is named inventor on a handfulof patents, and is an occasional contributor to CPAN.He holds a Ph.D. in theoretical physics from theUniversity of Washington. Visit his company websiteat www.principal-value.com.

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Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
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Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists

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