Data wrangling with Python /
Digging into data does not have to be painful. With Data Wrangling with Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awesome discoveries to be made in unassuming datasets and stories to be told. You don't have to...
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Sebastopol, CA :
O'Reilly Media,
2016.
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| Edition: | First edition. |
| Subjects: | |
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Table of Contents:
- Introduction to Python
- Python basics
- Data meant to be read by machines
- Working with Excel files
- PDFs and problem solving in Python
- Acquiring and storing data
- Data cleanup: investigation, matching, and formatting
- Data cleanup: standardizing and scripting
- Data exploration and analysis
- Presenting your data
- Web scraping: acquiring and storing data from the web
- Advanced web scraping: screen scrapers and spiders
- APIs
- Automation and scaling
- Conclusion.