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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 op...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Broucke, Seppe vanden, 1986- (Autor), Baesens, Bart (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress, [2018]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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082 0 4 |a 005.133  |q OCoLC  |2 23/eng/20230216 
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100 1 |a Broucke, Seppe vanden,  |d 1986-  |e author. 
245 1 0 |a Practical web scraping for data science :  |b best practices and examples with Python /  |c Seppe vanden Broucke, Bart Baesens. 
264 1 |a [Place of publication not identified] :  |b Apress,  |c [2018] 
264 2 |a New York :  |b Distributed to the Book trade worldwide by Springer Science+Business Media New York,  |c [2018] 
264 4 |c ©2018 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Online resource; title from cover (Safari, viewed May 18, 2018). 
504 |a Includes bibliographical references. 
520 |a 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 requests and Beautiful Soup, 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. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Python (Computer program language) 
650 0 |a Data mining. 
650 0 |a Automatic data collection systems. 
650 6 |a Python (Langage de programmation) 
650 6 |a Exploration de données (Informatique) 
650 6 |a Collecte automatique des données. 
650 7 |a Automatic data collection systems.  |2 fast  |0 (OCoLC)fst00822733 
650 7 |a Data mining.  |2 fast  |0 (OCoLC)fst00887946 
650 7 |a Python (Computer program language)  |2 fast  |0 (OCoLC)fst01084736 
700 1 |a Baesens, Bart,  |e author. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781484235829/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
994 |a 92  |b IZTAP