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Practical Web Scraping for Data Science

Best Practices and Examples with Python

Autor: Seppe vanden Broucke, Bart Baesens

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Legare: Carte broșată

Editura: APress

Disponibilitate: În depozitul extern

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324.10 lei

This book provides a complete and modern guide to web scraping, using Python as the programming lang...

Informații despre carte

Autor

Seppe vanden Broucke, Bart Baesens

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2018

Pagini

306

EAN

9781484235812

ISBN

1484235819

Enbook ID

18970666

Editura

APress

Greutate

642

Dimensiuni

266 x 180 x 25

Descriere completă

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. 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 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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Practical Web Scraping for Data Science

Best Practices and Examples with Python

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