Foundations for Analytics with Python

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