Foundations for Analytics with Python: From Non-Programmer to Hacker
Brownley, Clinton Clinton Brownley,
Language: English
Published by Oâ Reilly, 2016
- Softcover
- Used
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Condition: Used - Very good
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Foundations for Analytics with Python: From Non-Programmer to Hacker This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Seller Inventory # 7719-9781491922538
- Title
- Foundations for Analytics with Python: From Non-Programmer to Hacker
- Author
- Brownley, Clinton Clinton Brownley,
- Publisher
- Oâ Reilly
- Publication year
- 2016
- Condition
- Very Good
- Binding
- paperback
- Language
- English
- ISBN 10
- 1491922532
- ISBN 13
- 9781491922538
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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