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

by Clinton W. Brownley

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 to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary.

Genres: Programming

349 pages, Paperback

First published August 25, 2015

Reviews

[Tadas Talaikis · Rating 1 out of 5]

Professional, just can't get why this style with code and then explaining what it does. It's hard for speed read, better style can be code -> result.

Omg, but what I have found afetr going through tons pf pages - only some last few pages started to talk something about analytics. This book should have been named a bit otherwise.

[Delhi Irc]

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