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Foundations for Analytics with Python: From Non-Programmer to Hacker

Clinton W. Brownley




[PDF.nz32] Foundations for Analytics with Python: From Non-Programmer to Hacker

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 | #823756 in Books |  imusti |  2016-09-04 | Original language:English | PDF # 1 |  9.17 x.74 x7.01l,.0 | File type: PDF | 352 pages

 | O Reilly Media

||2 of 2 people found the following review helpful.| Like many other people|By Sonny Torres|Finally a book that focuses on working with spreadsheets with Python. Like many other people, I am a heavy excel user and needed a guide to working with excel that went beyond your normal introductory load file and spit out some superficial row/column slices.

GREAT book with plenty of useful examples and exercises on working wit|About the Author|
|Clinton Brownley, Ph.D., is a data scientist at Facebook, where he is responsible for a wide variety of data pipelining, statistical modeling, and data visualization projects that inform data-driven decisions about large-scale infrastructu

If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python.

After author Clinton Brownley takes you through Python basics, you’ll be able t...

You can specify the type of files you want, for your device.Foundations for Analytics with Python: From Non-Programmer to Hacker   |  Clinton W. Brownley. Just read it with an open mind because none of us really know.

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