(Get free) Foundations for Analytics with Python: From Non-Programmer to Hacker






 | #484129 in Books |  imusti |  2016-09-04 | Original language:English | PDF # 1 |  9.17 x.74 x7.01l,.0 | File Name: 1491922532 | 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 wi|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 infrastruct

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 ...


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