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Practical web scraping for data science : best practices and examples with Python /
Includes many larger, fully worked out examples, 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. --
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Berkeley, California] :
Apress,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 037 | |a com.springer.onix.9781484235829 |b Springer Nature | ||
| 037 | |a D914D3F6-A05A-4281-9108-31C7CD5629B5 |b OverDrive, Inc. |n http://www.overdrive.com | ||
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| 049 | |a UAMI | ||
| 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 [Berkeley, California] : |b Apress, |c [2018] | |
| 300 | |a 1 online resource (xvi, 306 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 505 | 8 | |a Intro; Table of Contents; About the Authors; About the Technical Reviewer; Introduction; Part I: Web Scraping Basics; Chapter 1: Introduction; 1.1 What Is Web Scraping?; 1.1.1 Why Web Scraping for Data Science?; 1.1.2 Who Is Using Web Scraping?; 1.2 Getting Ready; 1.2.1 Setting Up; 1.2.2 A Quick Python Primer; Chapter 2: The Web Speaks HTTP; 2.1 The Magic of Networking; 2.2 The HyperText Transfer Protocol: HTTP; 2.3 HTTP in Python: The Requests Library; 2.4 Query Strings: URLs with Parameters; Chapter 3: Stirring the HTML and CSS Soup; 3.1 Hypertext Markup Language: HTML | |
| 505 | 8 | |a 3.2 Using Your Browser as a Development Tool3.3 Cascading Style Sheets: CSS; 3.4 The Beautiful Soup Library; 3.5 More on Beautiful Soup; Part II: Advanced Web Scraping; Chapter 4: Delving Deeper in HTTP; 4.1 Working with Forms and POST Requests; 4.2 Other HTTP Request Methods; 4.3 More on Headers; 4.4 Dealing with Cookies; 4.5 Using Sessions with Requests; 4.6 Binary, JSON, and Other Forms of Content; Chapter 5: Dealing with JavaScript; 5.1 What Is JavaScript?; 5.2 Scraping JavaScript; 5.3 Scraping with Selenium; 5.4 More on Selenium; Chapter 6: From Web Scraping to Web Crawling | |
| 505 | 8 | |a 6.1 What Is Web Crawling?6.2 Web Crawling in Python; 6.3 Storing Results in a Database; Part III: Managerial Concerns and Best Practices; Chapter 7: Managerial and Legal Concerns; 7.1 The Data Science Process; 7.2 Where Does Web Scraping Fit In?; 7.3 Legal Concerns; Chapter 8: Closing Topics; 8.1 Other Tools; 8.1.1 Alternative Python Libraries; 8.1.2 Scrapy; 8.1.3 Caching; 8.1.4 Proxy Servers; 8.1.5 Scraping in Other Programming Languages; 8.1.6 Command-Line Tools; 8.1.7 Graphical Scraping Tools; 8.2 Best Practices and Tips; Chapter 9: Examples; 9.1 Scraping Hacker News | |
| 505 | 8 | |a 9.2 Using the Hacker News API9.3 Quotes to Scrape; 9.4 Books to Scrape; 9.5 Scraping GitHub Stars; 9.6 Scraping Mortgage Rates; 9.7 Scraping and Visualizing IMDB Ratings; 9.8 Scraping IATA Airline Information; 9.9 Scraping and Analyzing Web Forum Interactions; 9.10 Collecting and Clustering a Fashion Data Set; 9.11 Sentiment Analysis of Scraped Amazon Reviews; 9.12 Scraping and Analyzing News Articles; 9.13 Scraping and Analyzing a Wikipedia Graph; 9.14 Scraping and Visualizing a Board Members Graph; 9.15 Breaking CAPTCHA's Using Deep Learning; Index | |
| 520 | |a Includes many larger, fully worked out examples, 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. -- |c Edited summary from book. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on August 15, 2022). | ||
| 590 | |a Knovel |b ACADEMIC - General Engineering & Project Administration | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Automatic data collection systems. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Collecte automatique des données. | |
| 650 | 7 | |a Databases. |2 bicssc | |
| 650 | 7 | |a Business mathematics & systems. |2 bicssc | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a COMPUTERS |x Programming |x General. |2 bisacsh | |
| 650 | 7 | |a Automatic data collection systems |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 655 | 2 | |a Fictional Work | |
| 655 | 7 | |a Fiction |2 fast | |
| 655 | 7 | |a Fiction. |2 lcgft | |
| 655 | 7 | |a Romans. |2 rvmgf | |
| 700 | 1 | |a Baesens, Bart, |e author. | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpPWSDSBP2/toc |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH35093480 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5355911 | ||
| 938 | |a EBSCOhost |b EBSC |n 1795255 | ||
| 938 | |a YBP Library Services |b YANK |n 15317256 | ||
| 994 | |a 92 |b IZTAP | ||