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Foundations for Analytics with Python : From Non-Programmer to Hacker by Brownley, Clinton W. is a nonfiction available to read on EtoBox.

What is Foundations for Analytics with Python : From Non-Programmer to Hacker about?

If you're like many of Excel's 750 million users, you want to do more withyour data--like repeating similar analyses over hundreds of files, orcombining data in many files for analysis at one time. This practical guideshows ambitious non-programmers how to automate and scale the processing andanalysis of data in different formats--by using Python.After author Clinton Brownley takes you through Python basics, you'll be ableto write simple scripts for processing data in spreadsheets as well asdatabases. You'll also learn how to use several Python modules for parsingfiles, grouping data, and producing statistics. No programming experience isnecessary.Create and run your own Python scripts by learning basic syntax Use Python's csv module to read and parse CSV files Read multiple Excel worksheets and workbooks with the xlrd module Perform database operations in MySQL or with the mysqlclient module Create Python applications to find specific records, group data, and parsetext files Build statistical graphs and plots with matplotlib, pandas, ggplot, andseaborn Produce summary statistics, and estimate regression and classification models Schedule your scripts to run automatically in both W

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

Author

Brownley, Clinton W.

Publisher

O'Reilly Media, Incorporated

Published

2015

Language

EN

ISBN

9781491922507

Category

nonfiction

Subjects

Management, Language Learning, Mathematics

Rating

1.86 / 5 (7 ratings)

Updated

2026-03-14