Research Catalog
Data wrangling with Python
- Title
- Data wrangling with Python / Jacqueline Kazil and Katharine Jarmul.
- Author
- Kazil, Jacqueline
- Publication
- Sebastopol, CA : O'Reilly Media, 2016.
- ©2016
Items in the Library & Off-site
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1 Item
| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
| Text | Request in advance | QA76.73.P98 K39 2016 | Off-site |
Holdings
Details
- Additional Authors
- Jarmul, Katharine
- Description
- xvi, 488 pages : illustrations; 23 cm
- Summary
- 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 be a programmer to tell them. What you need is to understand the context of the data and to know a few of the techniques found in this book. You'll learn enough Python to be empowered to engage with your data, through a series of examples that grow in complexity throughout the book.
- Subject
- Note
- Includes index.
- 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.
- ISBN
- 9781491948811
- 1491948817
- LCCN
- 2016439700
- OCLC
- ocn943665040
- 943665040
- SCSB-13571072
- Owning Institutions
- Columbia University Libraries