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<section id="external-resources">
<span id="resources-index"></span><h1>External resources<a class="headerlink" href="#external-resources" title="Link to this heading">#</a></h1>
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<h2>Books, chapters and articles<a class="headerlink" href="#books-chapters-and-articles" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><a class="reference external" href="https://hal.inria.fr/hal-03427242/">Scientific Visualization: Python + Matplotlib (2021)</a>
by Nicolas P. Rougier</p></li>
<li><p><a class="reference external" href="https://www.packtpub.com/product/mastering-matplotlib/9781783987542">Mastering matplotlib</a>
by Duncan M. McGreggor</p></li>
<li><p><a class="reference external" href="https://www.packtpub.com/product/interactive-applications-using-matplotlib/9781783988846">Interactive Applications Using Matplotlib</a>
by Benjamin Root</p></li>
<li><p><a class="reference external" href="https://www.packtpub.com/product/matplotlib-for-python-developers/9781847197900">Matplotlib for Python Developers</a>
by Sandro Tosi</p></li>
<li><p><a class="reference external" href="http://www.aosabook.org/en/matplotlib.html">Matplotlib chapter</a>
by John Hunter and Michael Droettboom in The Architecture of Open Source
Applications</p></li>
<li><p><a class="reference external" href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833">Ten Simple Rules for Better Figures</a>
by Nicolas P. Rougier, Michael Droettboom and Philip E. Bourne</p></li>
<li><p><a class="reference external" href="https://scipython.com/book/chapter-7-matplotlib/">Learning Scientific Programming with Python chapter 7</a>
by Christian Hill</p></li>
<li><p><a class="reference external" href="https://www.packtpub.com/product/hands-on-data-analysis-with-pandas-second-edition/9781800563452">Hands-On Data Analysis with Pandas, chapters 5 and 6</a>
by Stefanie Molin</p></li>
</ul>
</section>
<section id="videos">
<h2>Videos<a class="headerlink" href="#videos" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><a class="reference external" href="https://www.youtube.com/watch?v=P7SVi0YTIuE">Plotting with matplotlib</a>
by Mike Müller</p></li>
<li><p><a class="reference external" href="https://www.youtube.com/watch?v=3Fp1zn5ao2M&feature=plcp">Introduction to NumPy and Matplotlib</a> by Eric Jones</p></li>
<li><p><a class="reference external" href="https://www.youtube.com/watch?v=6gdNUDs6QPc">Anatomy of Matplotlib</a>
by Benjamin Root and Hannah Aizenman</p></li>
<li><p><a class="reference external" href="https://www.oreilly.com/library/view/data-visualization-basics/9781771375573/">Data Visualization Basics with Python (O'Reilly)</a>
by Randal S. Olson</p></li>
<li><p><a class="reference external" href="https://www.youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl">Matplotlib Introduction</a>
by codebasics</p></li>
<li><p><a class="reference external" href="https://www.youtube.com/watch?v=wB9C0Mz9gSo">Matplotlib</a>
by Derek Banas</p></li>
</ul>
</section>
<section id="tutorials">
<h2>Tutorials<a class="headerlink" href="#tutorials" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><a class="reference external" href="https://www.labri.fr/perso/nrougier/teaching/matplotlib/">Matplotlib tutorial</a>
by Nicolas P. Rougier</p></li>
<li><p><a class="reference external" href="https://github.com/WeatherGod/AnatomyOfMatplotlib">Anatomy of Matplotlib - IPython Notebooks</a>
by Benjamin Root</p></li>
<li><p><a class="reference external" href="https://github.com/stefmolin/python-data-viz-workshop">Beyond the Basics: Data Visualization in Python</a>
by Stefanie Molin</p></li>
</ul>
</section>
<section id="galleries">
<h2>Galleries<a class="headerlink" href="#galleries" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><a class="reference external" href="https://jhepc.github.io/gallery.html">Past winners for JDH plotting contest</a>
by Nelle Varoquaux</p></li>
<li><p><a class="reference external" href="https://www.python-graph-gallery.com">The Python Graph Gallery</a>
by Yan Holtz</p></li>
</ul>
</section>
</section>
</article>
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