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Practical Web Scraping for Data Science: Best Practices and Examples with Python
Paperback
Business GeneralDatabasesProgramming
Publisher Price: $79.99
ISBN13: 9781484235812
Publisher: Apress
Published: Apr 19 2018
Pages: 306
Weight: 1.24
Height: 0.68 Width: 7.00 Depth: 10.00
Language: English
This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist's arsenal, as many data science projects start by obtaining an appropriate data set.
What You'll Learn
- Leverage well-established best practices and commonly-used Python packages
- Handle today's web, including JavaScript, cookies, and common web scraping mitigation techniques
- Understand the managerial and legal concerns regarding web scraping
A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.
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