| Publisher | O'Reilly Media, Inc. |
| Acquisitions Editor | Meghan Blanchette |
| Editor | Dawn Schanafelt |
| Production Editor | Matthew Hacker |
| Copy Editor | Rachel Head |
| Proofreader | Jasmine Kwityn |
| Indexer | WordCo Indexing Services, Inc. |
| Interior Design | David Futato |
| Cover/Jacket Design by | Randy Comer |
| Illustrator | Rebecca Demarest |
| About/Subject | Python |
| 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 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 Show all ▾ |
| 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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