<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Joshua L. Peterson on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/joshua-l.-peterson/</link><description>Recent content in Joshua L. Peterson on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 20 Nov 2024 10:51:28 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/author/joshua-l.-peterson/index.xml" rel="self" type="application/rss+xml"/><item><title>Visualizing Nuclear Fuel Inventories</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2013/01/visualizing-nuclear-fuel-inventories/</link><pubDate>Thu, 24 Jan 2013 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2013/01/visualizing-nuclear-fuel-inventories/</guid><description>&lt;p>&lt;b>This post originally appeared on the &lt;a href="https://software-carpentry.org/">Software Carpentry website.&lt;/a>&lt;/b>&lt;/p>
&lt;p>I was working on characterizing the used nuclear fuel in the United States and needed to calculate the isotopic inventories for 174,000 fuel assemblies. This seemed like an overwhelming project and decided to see if using a database could help me. With the help of the online lessons from Software Carpentry I was able to write a Python script that would run the needed information and then store the results in a Sqlite database. I then used an open source tool RapidMiner to visual that data:&lt;/p></description></item></channel></rss>