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<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="assets/xml/rss.xsl" media="all"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jaakko Luttinen (Blog)</title><link>http://www.jaakkoluttinen.fi/</link><description>Bayesian Data Science with Python</description><atom:link href="http://www.jaakkoluttinen.fi/rss.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Sat, 27 May 2017 19:10:50 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Conda on NixOS</title><link>http://www.jaakkoluttinen.fi/blog/conda-on-nixos/</link><dc:creator>Jaakko Luttinen</dc:creator><description><div><p>We've been using <a href="https://conda.io/">Conda</a> (also known as Anaconda<sup id="fnref-1"><a class="footnote-ref" href="http://www.jaakkoluttinen.fi/blog/conda-on-nixos/#fn-1">1</a></sup> or
Miniconda<sup id="fnref-2"><a class="footnote-ref" href="http://www.jaakkoluttinen.fi/blog/conda-on-nixos/#fn-2">2</a></sup>) to manage our Python environments
at <a href="http://leanheat.com/">Leanheat</a>. However, Conda doesn't work
on <a href="https://nixos.org/">NixOS</a>, a Linux distribution I recently started using.
After some studying, I found a way to install and use Conda on NixOS, which I
thought I'd share here.</p>
<p><a href="http://www.jaakkoluttinen.fi/blog/conda-on-nixos/">Read more…</a> (4 min remaining to read)</p></div></description><category>Conda</category><category>NixOS</category><guid>http://www.jaakkoluttinen.fi/blog/conda-on-nixos/</guid><pubDate>Sat, 27 May 2017 13:36:15 GMT</pubDate></item><item><title>Sharing interactive Jupyter (IPython) Notebooks with Binder</title><link>http://www.jaakkoluttinen.fi/blog/sharing-interactive-jupyter-ipython-notebooks-with-binder/</link><dc:creator>Jaakko Luttinen</dc:creator><description><div tabindex="-1" id="notebook" class="border-box-sizing">
<div class="container" id="notebook-container">
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>Nikola makes sharing Jupyter (IPython) Notebooks easy. You can render a static page like this and provide a link to download the notebook for interactive usage. However, a major downside with this is that the reader must set up his/her own Python environment which has all the dependencies installed and has to know how to run notebooks. It'd be much simpler if the reader could just click a link and an interactive notebook opened in the browser without him/her needing to do anything else. Well, I just discovered a service which easily enables this: <a href="http://mybinder.org">Binder</a>.</p>
<p><a href="http://www.jaakkoluttinen.fi/blog/sharing-interactive-jupyter-ipython-notebooks-with-binder/">Read more…</a> (3 min remaining to read)</p></div></div></div></div></div></description><category>Binder</category><category>conf.py</category><category>IPython</category><category>Jupyter</category><category>Nikola</category><category>Notebook</category><guid>http://www.jaakkoluttinen.fi/blog/sharing-interactive-jupyter-ipython-notebooks-with-binder/</guid><pubDate>Sun, 15 Nov 2015 10:43:44 GMT</pubDate></item><item><title>How to blog with Jupyter (IPython) Notebook and Nikola</title><link>http://www.jaakkoluttinen.fi/blog/how-to-blog-with-jupyter-ipython-notebook-and-nikola/</link><dc:creator>Jaakko Luttinen</dc:creator><description><div><p><em>Last updated on 2015-11-16</em></p>
<p>I have thought about starting a blog for a few years now and when I recently
found some amazing tools which can be used in a data science blog I got so
excited that I finally had to start my blog. I have used Python and the
<a href="http://www.numpy.org/">NumPy</a>/<a href="http://scipy.org/">SciPy</a> stack to analyze and
model data for a few years now. I'm also passionate about open data and open
science, so I've been excited about how <a href="http://jupyter.org/">Jupyter Notebooks</a>
(a.k.a. <a href="http://ipython.org/">IPython Notebooks</a>) can be used to share a mixture
of reproducible code and commentation. And with Nikola, it is possible to set
up a whole blogging system based on posts written as Notebooks making it
possible for anyone to easily try the analysis shown in the post. I got some
inspiration from <a href="http://www.damian.oquanta.info/">Damian Avila's blog</a>. He has
written <a href="http://www.damian.oquanta.info/posts/blogging-with-nikola-and-ipython.html">instructions on blogging with Nikola and
IPython</a>.
However, the instructions are outdated so I thought I'd start my blog by giving
my own tips on setting up Nikola.</p>
<p><a href="http://www.jaakkoluttinen.fi/blog/how-to-blog-with-jupyter-ipython-notebook-and-nikola/">Read more…</a> (6 min remaining to read)</p></div></description><category>conf.py</category><category>IPython</category><category>Jupyter</category><category>mathjax</category><category>Nikola</category><category>Notebook</category><guid>http://www.jaakkoluttinen.fi/blog/how-to-blog-with-jupyter-ipython-notebook-and-nikola/</guid><pubDate>Tue, 10 Nov 2015 20:05:01 GMT</pubDate></item></channel></rss>