Data wrangling with Python - Info and Reading Options
By Jacqueline Kazil
"Data wrangling with Python" was published by O'Reilly Media in 2016 - cau, it has 488 pages and the language of the book is English.
“Data wrangling with Python” Metadata:
- Title: Data wrangling with Python
- Author: Jacqueline Kazil
- Language: English
- Number of Pages: 488
- Publisher: O'Reilly Media
- Publish Date: 2016
- Publish Location: cau
“Data wrangling with Python” Subjects and Themes:
- Subjects: ➤ Python (Computer program language) - Data mining - Python (computer program language) - Data Mining - Datenanalyse - Python - Python (Langage de programmation) - Exploration de données (Informatique) - COMPUTERS - Programming Languages
Edition Specifications:
- Pagination: xvi, 488 pages
Edition Identifiers:
- The Open Library ID: OL27208521M - OL20028472W
- Online Computer Library Center (OCLC) ID: 943665040 - 937392429
- Library of Congress Control Number (LCCN): 2016439700
- ISBN-13: 9781491948811 - 9781491956809
- ISBN-10: 1491948817
- All ISBNs: 1491948817 - 9781491948811 - 9781491956809
AI-generated Review of “Data wrangling with Python”:
"Data wrangling with Python" Table Of Contents:
- 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.
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