<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jupyter on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/tag/jupyter/</link><description>Recent content in Jupyter 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/tag/jupyter/index.xml" rel="self" type="application/rss+xml"/><item><title>Fourteen and Counting - People's Favorite Tools</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/01/fave_update/</link><pubDate>Mon, 08 Jan 2018 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/01/fave_update/</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>Thank you to all the people who have sent in short posts about their favourite tools. We are up to fourteen now, and the variety
of tools is great to see. Finding out what other people use - and possibly more importantly - &lt;em>why&lt;/em> they use it, and for what, is a great
shortcut for researchers. There are a bewildering number of research tools around. Getting a tip from someone in your discipline, or from
someone who is doing a similar task to you, can really help.&lt;/p></description></item><item><title>People's Favorite Tools</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/11/favorites/</link><pubDate>Wed, 29 Nov 2017 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/11/favorites/</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>A big thank you to everyone who has responded so far to the call for short posts about their favourite tools.&lt;/p>
&lt;p>So far we have had &lt;a href="https://twitter.com/orchid00">Paula Martinez&lt;/a> on &lt;a href="https://software-carpentry.org/blog/2017/10/my-fave-tool.html">R&lt;/a>, with &lt;a href="https://twitter.com/BinxiePeterson">Bianca Peterson&lt;/a> &lt;a href="https://software-carpentry.org/blog/2017/11/bianca-fave.html">enthusiastically seconding&lt;/a>, Jeff Oliver sharing his love of &lt;a href="https://software-carpentry.org/blog/2017/10/oliver-fave.html">Git and GitHub&lt;/a>,
&lt;a href="https://twitter.com/kellieotto">Kellie Ottoboni&lt;/a> talking up &lt;a href="https://software-carpentry.org/blog/2017/10/ottoboni-fave.html">IPython&lt;/a>, and Thomas Arildsen on
how the &lt;a href="https://software-carpentry.org/blog/2017/10/arildsen-fave.html">Jupyter Notebook&lt;/a> facilitates his teaching. &lt;a href="https://twitter.com/JulianeS">Juliane Schneider&lt;/a> weighed in on the &lt;a href="https://software-carpentry.org/blog/2017/10/schneider-fave.html">wonders of OpenRefine&lt;/a>. Clifton Franklund likes &lt;a href="https://software-carpentry.org/blog/2017/11/franklund.html">RStudio&lt;/a>, while Francesco Montanari is a fan of &lt;a href="https://software-carpentry.org/blog/2017/11/fm-fave-tool.html">emacs&lt;/a>.&lt;/p></description></item><item><title>My Favourite Tool: Jupyter Notebook</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/10/arildsen-fave/</link><pubDate>Sat, 28 Oct 2017 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/10/arildsen-fave/</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;h4 id="my-favorite-tool-is--the-jupyter-notebook">My favorite tool is &amp;hellip; the Jupyter Notebook.&lt;/h4>
&lt;p>One of my favourite tools is the &lt;a href="http://jupyter.org/">Jupyter notebook&lt;/a>. I use it for teaching my students scientific
computing with Python.&lt;/p>
&lt;h4 id="why-i-like-it">Why I like it:&lt;/h4>
&lt;p>Using &lt;a href="http://jupyter.org/">Jupyter&lt;/a> with the plugin &lt;a href="https://github.com/damianavila/RISE">RISE&lt;/a>,
I can create presentations including code cells that I can edit and execute live during the presentation
to demonstrate the various aspects of Python that I introduce. It is a very good compromise between running scripts
and typing in the command prompt on the projector screen vs. just showing static slides with code.&lt;/p></description></item><item><title>Teaching Python to undergraduate geoscientists: A summary of our approaches and experiences over the years</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2016/06/teaching-python-to-undergraduate-geoscientists/</link><pubDate>Sat, 18 Jun 2016 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2016/06/teaching-python-to-undergraduate-geoscientists/</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>In 2010, a &lt;a href="http://ggorman.github.io/Introduction-to-programming-for-geoscientists/">new course&lt;/a> commenced at &lt;a href="http://www.imperial.ac.uk/engineering/departments/earth-science/">Imperial College London&lt;/a> that aimed to teach undergraduate geoscience students how to program in Python. Over the course of five years (2010 to 2014 inclusive) our teaching methodology evolved significantly in response to student feedback and examination performance. The course lecturers (&lt;a href="http://www.imperial.ac.uk/people/g.gorman">Gerard Gorman&lt;/a> and myself, &lt;a href="http://christianjacobs.uk">Christian Jacobs&lt;/a>) along with several of our Teaching Assistants also undertook Software Carpentry instructor training which offered a fantastic pedagogical insight into how to effectively teach novices how to program. As a result, many of our teaching techniques were influenced by this which helped to greatly improve our course. &lt;strong>In this blog post we summarise what we changed throughout the five years and why&lt;/strong>, in the hope that this will benefit other instructors currently offering, or planning to offer, an undergraduate computer programming course.&lt;/p></description></item><item><title>Congratulations to Project Jupyter</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2015/07/congrats-to-project-jupyter/</link><pubDate>Tue, 07 Jul 2015 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2015/07/congrats-to-project-jupyter/</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>
 This is wonderful news:
 the Helmsley Charitable Trust, the Alfred P. Sloan Foundation, and the Gordon and Betty Moore Foundation
 have &lt;a href="https://www.moore.org/newsroom/press-releases/2015/07/07/$6m-for-uc-berkeley-and-cal-poly-to-expand-and-enhance-open-source-software-for-scientific-computing-and-data-science">just pledged $6M over three years to Project Jupyter&lt;/a>
 (formerly known as the IPython Notebook).
 Fernando Perez of University of California, Berkeley and Lawrence Berkeley National Laboratory
 and Brian Granger of California Polytechnic University, San Luis Obispo will lead the project.
 Congratulations to them, their team, and their community&amp;mdash;this is well deserved,
 and will help scientists all over the world in ways we cannot yet even imagine.
&lt;/p></description></item></channel></rss>