<?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>Teaching on DataThrillz</title><link>https://datathrillz.com/tags/teaching/</link><description>Recent content in Teaching on DataThrillz</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 15 Feb 2021 17:18:46 +0000</lastBuildDate><atom:link href="https://datathrillz.com/tags/teaching/index.xml" rel="self" type="application/rss+xml"/><item><title>Binder &amp; Repl.it</title><link>https://datathrillz.com/posts/2021-02-15-binder-repl-it/</link><pubDate>Mon, 15 Feb 2021 17:18:46 +0000</pubDate><guid>https://datathrillz.com/posts/2021-02-15-binder-repl-it/</guid><description>&lt;p&gt;I recently discovered two great tools for easily creating interactive coding environments without installing a thing. These tools facilitate sharing of code in multiple languages and are wonderful resources for demonstrating programming concepts when teaching a course.&lt;/p&gt;
&lt;h1 id="binder"&gt;&lt;strong&gt;Binder&lt;/strong&gt;&lt;/h1&gt;
&lt;p&gt;The first tool is called Binder, is open-source and was released in 2017. It is awesome because it allows data scientists to share their work in Python , R or Julia in a reproducible manner. Binder can be configured for Python (Anaconda or pip environment) and R (using RStudio and/or Shiny). Multiple user interfaces can be specified. For example, for Python we can use a terminal or Jupyter notebook in the repo.&lt;/p&gt;</description></item></channel></rss>