Data Wrangling with Python: Tips and Tools to Make Your Life Easier

✍ Scribed by Jacqueline Kazil, Katharine Jarmul

• Publisher: O’Reilly Media
• Year: 2016
• Tongue: English
• Leaves: 939
• Edition: 1
• Category: Library

✦ Table of Contents

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. I Python Hints
G. Using Amazon Web Services Index

✦ Subjects

Data Modeling Design Databases Big Computers Technology Mining Programming APIs Operating Environments Algorithms Apple Cross platform Development Functional Game Graphics Multimedia Introductory Beginning Languages Tools Microsoft Mobile Apps Parallel Software Testing Engineering Web Python Reference Almanacs Yearbooks Atlases Maps Careers Catalogs Directories Consumer Guides Dictionaries Thesauruses Encyclopedias Subject English as a Second Language Etiquette Foreign Study Genealogy Quotation