Practical Web Scraping for Data Science: Best Practices and

Practical Web Scraping for Data Science: Best Practices and Examples with Python
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 scientistâ€™s arsenal, as many data science projects start by obtaining an appropriate data set.
Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases.

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
Who This Book is For

A data science oriented audience that is probably already familiar with Python or another programming language or analyticalÂ toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate aÂ quick Python primer in chapter 1 toÂ catch up with the basics and provide pointers to other guides as well.
Country USA
Brand Apress
Manufacturer Apress
Binding Paperback
ItemPartNumber 50929157
ReleaseDate 2018-04-19
UnitCount 1
EANs 9781484235812

Country	USA
Brand	Apress
Manufacturer	Apress
Binding	Paperback
ItemPartNumber	50929157
ReleaseDate	2018-04-19
UnitCount	1
EANs	9781484235812

Practical Web Scraping for Data Science: Best Practices and Examples with Python