<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Virtualbox on Yoke Keong</title><link>https://yokekeong.com/blog/virtualbox/</link><description>Recent content in Virtualbox on Yoke Keong</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 13 Jan 2015 11:00:23 +0000</lastBuildDate><atom:link href="https://yokekeong.com/blog/virtualbox/index.xml" rel="self" type="application/rss+xml"/><item><title>A virtual environment for data science</title><link>https://yokekeong.com/a-virtual-environment-for-data-science/</link><pubDate>Tue, 13 Jan 2015 11:00:23 +0000</pubDate><guid>https://yokekeong.com/a-virtual-environment-for-data-science/</guid><description>&lt;p&gt;I wanted to conveniently use data science tools without the hassle of installing the required languages and packages, while benefiting from the strengths of the Linux command line tools. There is a pre-packaged VM called the &lt;a href="http://datasciencetoolbox.org/"&gt;Data Science Toolbox&lt;/a&gt; that fills this need.&lt;/p&gt;&#10;&lt;p&gt;It comes with R and Python installed, along with the respective popular data analysis packages for R and Python. You will be able to install the VM successfully by following the instructions on the &lt;a href="http://datasciencetoolbox.org/"&gt;website&lt;/a&gt;, including installation of pre-requisites like VirtualBox and Vagrant.&lt;/p&gt;</description></item></channel></rss>