<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>pandas on Tom Roth</title><link>https://tomroth.dev/tags/pandas/</link><description>Recent content in pandas on Tom Roth</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Fri, 14 Jul 2017 00:00:00 +0000</lastBuildDate><atom:link href="https://tomroth.dev/tags/pandas/index.xml" rel="self" type="application/rss+xml"/><item><title>Pandas functions. Lots of them.</title><link>https://tomroth.dev/pandas/</link><pubDate>Fri, 14 Jul 2017 00:00:00 +0000</pubDate><guid>https://tomroth.dev/pandas/</guid><description>Pandas is your best friend for your data needs. It is the king of data manipulation in the Python empire.
Any data scientist intending to use Python as their tool of choice must master Pandas. It is compulsory, like learning to walk before you run.
So here is a quick reference list of functions, just for you.
But reading written material is no substitute for repeated practice. And hence, you should not expect to remember the functions below.</description></item></channel></rss>