<?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>VanderPlas, Jake on Wijnand Baretta</title><link>https://wijnandbaretta.com/authors/vanderplas-jake/</link><description>Recent content in VanderPlas, Jake 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>Mon, 12 Feb 2018 00:00:00 +0000</lastBuildDate><atom:link href="https://wijnandbaretta.com/authors/vanderplas-jake/index.xml" rel="self" type="application/rss+xml"/><item><title>Python Data Science Handbook: Essential Tools for Working with Data</title><link>https://wijnandbaretta.com/books/python-data-science-handbook-essential-tools-for-working-with-data/</link><pubDate>Mon, 12 Feb 2018 00:00:00 +0000</pubDate><guid>https://wijnandbaretta.com/books/python-data-science-handbook-essential-tools-for-working-with-data/</guid><description>&lt;h1 id="python-data-science-handbook-essential-tools-for-working-with-data"&gt;Python Data Science Handbook: Essential Tools for Working with Data&lt;/h1&gt;
&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;The &amp;ldquo;Python Data Science Handbook&amp;rdquo; by Jake VanderPlas is a comprehensive guide that equips readers with essential tools and techniques for data science using the Python programming language. The book covers a range of topics crucial for data analysis, including IPython, NumPy, pandas, matplotlib, Scikit-Learn, and more. It is structured to be both a reference and a tutorial, providing practical insights and examples that demonstrate how to leverage these tools effectively. The author assumes readers have some familiarity with Python, but the book is crafted in a way to guide them from the basics to more complex tasks in data science.&lt;/p&gt;</description></item></channel></rss>