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

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 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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