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Hands-On Web Scraping with Python. Extract quality data from the web using effective Python techniques - Second Edition - Helion

Hands-On Web Scraping with Python. Extract quality data from the web using effective Python techniques - Second Edition
ebook
Autor: Anish Chapagain
Tytuł oryginału: Hands-On Web Scraping with Python. Extract quality data from the web using effective Python techniques - Second Edition
ISBN: 9781837638512
stron: 324, Format: ebook
Księgarnia: Helion

Cena książki: 119,00 zł

Książka będzie dostępna od października 2023

Web scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience.
Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you’ll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You’ll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning.
This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you’ll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.

Spis treści

Hands-On Web Scraping with Python. Extract quality data from the web using effective Python techniques - Second Edition eBook -- spis treści

  • 1. Web Scraping Fundamentals
  • 2. Python programming for Data and Web
  • 3. Searching and Processing Web Documents
  • 4. Scraping Using PyQuery, a jQuery-Like Library for Python
  • 5. Scraping the Web with Scrapy and Beautiful Soup
  • 6. Working with the Secure Web
  • 7. Data Extraction Using Web APIs
  • 8. Using Selenium to Scrape the Web
  • 9. Using Regular Expressions and PDFs
  • 10. Data Mining, Analysis, and Visualization
  • 11. Machine Learning and Web Scraping
  • 12. After Scraping – Next Steps and Data Analysis

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