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Praise for Data Wrangling with Python
Data Wrangling with Python
Data Wrangling with Python
Preface
1. Introduction to Python
2. Python Basics
3. Data Meant to Be Read by Machines
4. Working with Excel Files
5. PDFs and Problem Solving in Python
6. Acquiring and Storing Data
7. Data Cleanup: Investigation, Matching, and Formatting
8. Data Cleanup: Standardizing and Scripting
9. Data Exploration and Analysis
10. Presenting Your Data
11. Web Scraping: Acquiring and Storing Data from the Web
12. Advanced Web Scraping: Screen Scrapers and Spiders
13. APIs
14. Automation and Scaling
15. Conclusion
A. Comparison of Languages Mentioned
B. Python Resources for Beginners
C. Learning the Command Line
D. Advanced Python Setup
E. Python Gotchas
F. IPython Hints
G. Using Amazon Web Services
Index
About the Authors
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