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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
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<title>Course on Practical Neuroimaging in Python — Practical neuroimaging analysis</title>
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<h1>General reading for the class<a class="headerlink" href="#general-reading-for-the-class" title="Permalink to this headline">¶</a></h1>
<div class="section" id="python">
<h2>Python<a class="headerlink" href="#python" title="Permalink to this headline">¶</a></h2>
<p>If you are new to Python, we recommend starting off with the excellent
<a class="reference external" href="http://www.introtopython.org">Introduction to Python</a>.</p>
<p>There are a good set of <a class="reference external" href="http://www.introtopython.org/resources.html">resources</a> via the “Resources” link on
that site. We especially like the Google course, if you like to watch videos
to go with your exercises.</p>
<p>Here are some good sites that help you practice writing Python:</p>
<ul class="simple">
<li><a class="reference external" href="http://codingbat.com/python">CodingBat</a> by the same author as the Google
Python course;</li>
<li><a class="reference external" href="http://www.codecademy.com/tracks/python">Code Academy Python track</a></li>
<li><a class="reference external" href="http://singpath.com">SingPath</a></li>
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<h2>Background<a class="headerlink" href="#background" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li><a class="reference external" href="http://www.nature.com/news/programming-pick-up-python-1.16833">Nature article on Python in science</a>. This is a
recent news article about the benefits of using Python for scientific
programming.</li>
<li><a class="reference external" href="http://norvig.com/21-days.html">Essay by Peter Norvig</a>. <a class="reference external" href="http://en.wikipedia.org/wiki/Peter_Norvig">Peter Norvig</a> is director of research at
Google. The essay explains that, to learn programming, and therefore how to
do computational science well, takes a long time. We plan to teach you the
steps so that you can continue learning computing for the rest of your
career.</li>
<li>Greg Wilson’s article on scientific computing: Wilson, Greg, et al. <a class="reference external" href="http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745">Best
practices for scientific computing.</a>
PLoS biology 12.1 (2014): e1001745. Greg Wilson and others set out the
standard set of good habits that reduce errors and increase efficiency for
scientific computing.</li>
<li>Donoho, David L. 2010. An invitation to reproducible computational research.
Biostatistics 11, 385–388.
<a class="reference external" href="http://biostatistics.oxfordjournals.org/content/11/3/385.full">http://biostatistics.oxfordjournals.org/content/11/3/385.full</a> . David Donoho
is a professor in the Stanford statistics department who has long championed
the need to make our work available to others in a form that lets them
reproduce our results.</li>
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<li><a class="reference internal" href="#">General reading for the class</a><ul>
<li><a class="reference internal" href="#python">Python</a></li>
<li><a class="reference internal" href="#background">Background</a></li>
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