Book description
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.
Publisher resources
Table of contents
- Preface
- 1. Python Basics
- 2. Comma-Separated Values (CSV) Files
- 3. Excel Files
- 4. Databases
- 5. Applications
- 6. Figures and Plots
- 7. Descriptive Statistics and Modeling
- 8. Scheduling Scripts to Run Automatically
- 9. Where to Go from Here
- A. Download Instructions
- B. Answers to Exercises
- Bibliography
- Index
Product information
- Title: Foundations for Analytics with Python
- Author(s):
- Release date: August 2016
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491922538
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