Data Wrangling with Python

Editor	Dawn Schanafelt
Publisher	O'Reilly Media, Inc.
Illustrator	Rebecca Demarest
Proofreader	Jasmine Kwityn
Production Editor	Matthew Hacker
Indexer	WordCo Indexing Services, Inc.
Cover/Jacket Design by	Randy Comer
Acquisitions Editor	Meghan Blanchette
Copy Editor	Rachel Head
About/Subject	Python
Interior Design	David Futato
Format	e-Book
Language	English
This Edition Published	2016
Copyright	2016 Jacqueline Kazil and Kjamistan, Inc.
Pages / Font	482 pages
Price	US $39.99
Price	CAN $45.99
ISBN	978-1-491-94881-1
Barcode	9781491948811
Chapters	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
Notes	Tips and tools to make your life easier. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows nonprogrammers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you'll learn how to acquire, clean, analyze, and present data efficiently. You'll also discover how to automate your data process, schedule file-editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

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