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: Foundations for Analytics with Python: From Non-Programmer to Hacker
: Clinton W. Brownley
: O'Reilly Media
: 2016
: 300
: 20 Mb
: English

If youre like many of Excels 750 million users, you want to do more with your datalike 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 formatsby using Python.

After author Clinton Brownley takes you through Python basics, youll be able to write simple scripts for processing data in spreadsheets as well as databases. Youll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary.

Create and run your own Python scripts by learning basic syntax
Use Pythons 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 parse text files
Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn
Produce summary statistics, and estimate regression and classification models
Schedule your scripts to run automatically in both Windows and Mac environments

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