<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ian Flores Siaca on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/ian-flores-siaca/</link><description>Recent content in Ian Flores Siaca on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 18 Nov 2024 23:02:38 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/author/ian-flores-siaca/index.xml" rel="self" type="application/rss+xml"/><item><title>Announcing Glosario</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2020/07/announcing-glosario/</link><pubDate>Tue, 28 Jul 2020 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2020/07/announcing-glosario/</guid><description>&lt;p>&lt;a href="https://github.com/carpentries/glosario">&lt;code>glosario&lt;/code>&lt;/a> is an open source glossary of terms used in data science
that is &lt;a href="https://carpentries.github.io/glosario/">available online&lt;/a>
and also as a library in both &lt;a href="https://github.com/carpentries/glosario-r/">R&lt;/a>
and &lt;a href="https://github.com/carpentries/glosario-py/">Python&lt;/a>.
Authors can add glossary keys to a lesson&amp;rsquo;s metadata to indicate
what the lesson teaches,
what learners ought to know before they start,
and where they can go to find that knowledge.
Authors can also use the library&amp;rsquo;s functions to insert consistent hyperlinks for terms in their lessons in any of several (human) languages,
and anyone who has installed the library can use it interactively to look things up while they are programming.&lt;/p></description></item></channel></rss>