<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Baesens, Bart on Wijnand Baretta</title><link>https://wijnandbaretta.com/authors/baesens-bart/</link><description>Recent content in Baesens, Bart on Wijnand Baretta</description><image><title>Wijnand Baretta</title><url>https://wijnandbaretta.com/images/og-default.png</url><link>https://wijnandbaretta.com/images/og-default.png</link></image><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Sat, 31 Dec 2016 00:00:00 +0000</lastBuildDate><atom:link href="https://wijnandbaretta.com/authors/baesens-bart/index.xml" rel="self" type="application/rss+xml"/><item><title>Practical Web Scraping for Data Science: Best Practices and Examples with Python</title><link>https://wijnandbaretta.com/books/practical-web-scraping-for-data-science-best-practices-and-examples-with-python/</link><pubDate>Sat, 31 Dec 2016 00:00:00 +0000</pubDate><guid>https://wijnandbaretta.com/books/practical-web-scraping-for-data-science-best-practices-and-examples-with-python/</guid><description>&lt;h1 id="practical-web-scraping-for-data-science-best-practices-and-examples-with-python"&gt;Practical Web Scraping for Data Science: Best Practices and Examples with Python&lt;/h1&gt;
&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;&amp;ldquo;Practical Web Scraping for Data Science: Best Practices and Examples with Python&amp;rdquo; 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.&lt;/p&gt;</description></item></channel></rss>