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Wed, 22 Sep 2021 08:29:14 +0200

Web Scraping with Python: Collecting More Data from the Modern Web

Thu, 12 Jan 2017 00:00:00 +0000

Web Scraping with Python: Collecting More Data from the Modern Web

Summary

“Web Scraping with Python: Collecting More Data from the Modern Web” by Ryan Mitchell is a comprehensive guide that delves into the techniques and tools needed to extract data from websites efficiently. This book covers various aspects of web scraping, including simple techniques for beginners and more complex methods for advanced users. It explains how to work with different web technologies, handle data types, format the scraped data, and ensure ethical and legal compliance. The book emphasizes practical implementation, using Python as the primary language for examples, and it discusses libraries and frameworks like Beautiful Soup, Scrapy, and Selenium.

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

Sat, 31 Dec 2016 00:00:00 +0000

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

Summary

“Practical Web Scraping for Data Science: Best Practices and Examples with Python” by Bart Baesens and Seppe vanden Broucke provides a comprehensive guide to web scraping using Python, tailored specifically for data science applications. The book offers a systematic approach to extracting valuable data from the web, emphasizing best practices, ethical considerations, and efficient techniques. It covers various tools and libraries, such as BeautifulSoup, Scrapy, and Selenium, and demonstrates how to navigate through common challenges in web scraping. The authors aim to arm readers with the skills to retrieve, clean, and analyze web data to derive actionable insights and support data-driven decision-making.

Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more, 2nd Edition

Mon, 26 Oct 2015 00:00:00 +0000

Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more, 2nd Edition

Summary

“Python Automation Cookbook, 2nd Edition” by Jaime Buelta is a practical guide focused on automating a variety of tasks using Python. The book covers a wide range of use cases such as web scraping, data wrangling, and the manipulation of data in formats like Excel, handling of emails, and report automation. It is designed for readers who wish to gain hands-on experience with Python scripting to streamline routine tasks efficiently. Each chapter is structured to introduce a particular automation problem followed by detailed solutions leveraging Python’s capabilities.