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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.
<ASIN:1491922532>
- 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
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