This practical guide by Clinton Brownley shows ambitious non-programmers how to automate and scale data processing and analysis of different data formats with Python, using business-relevant examples with complete, easy-to-read code.

• 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

Author: Clinton W. Brownley
Publisher: O'Reilly
Date: December 2015
Pages: 200
ISBN: 978-1491922538
Print: 1491922532
KIndle: B01KIS81RW
Audience: Ambitious non-programmers
Level: Intermediate
Category: Python

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info