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 <li class="toctree-l1"><a class="reference internal" href="map.html">Choosing the right algorithm</a></li>
 <li class="toctree-l1"><a class="reference internal" href="examples/Quick_start.html">Quick-Start</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples/Developer_Guide.html">Developer Guide</a></li>
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 <p class="caption" role="heading"><span class="caption-text">API Documentation</span></p>
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 <ul>
 <li class="toctree-l1"><a class="reference internal" href="../map.html">Choosing the right algorithm</a></li>
 <li class="toctree-l1"><a class="reference internal" href="Quick_start.html">Quick-Start</a></li>
+<li class="toctree-l1"><a class="reference internal" href="Developer_Guide.html">Developer Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API Documentation</span></p>
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 <section id="Classification">
 <h1>Classification<a class="headerlink" href="#Classification" title="Permalink to this headline"></a></h1>
-<div class="btn btn-notebook" role="button"><p><img alt="59bc4f4d199a47f69f7aa7cdc5ae4173" src="../_images/colab_logo_32px.png" /> <a class="reference external" href="https://colab.research.google.com/drive/1ANQUix9Y6V4RXu-vAaCFGmU979d5m4bO?usp=sharing">Run in Google Colab</a></p>
-</div><div class="btn btn-notebook" role="button"><p><img alt="a04b837a256e4e0aadf250c3f8908162" src="../_images/github_logo_32px.png" /> <a class="reference external" href="https://github.com/adapt-python/notebooks/blob/d0364973c642ea4880756cef4e9f2ee8bb5e8495/Classification.ipynb">View on GitHub</a></p>
+<div class="btn btn-notebook" role="button"><p><img alt="d369b276b4744b0cab3f36e8b5537d40" src="../_images/colab_logo_32px.png" /> <a class="reference external" href="https://colab.research.google.com/drive/1ANQUix9Y6V4RXu-vAaCFGmU979d5m4bO?usp=sharing">Run in Google Colab</a></p>
+</div><div class="btn btn-notebook" role="button"><p><img alt="894a8bd476554520a14e5f91493961df" src="../_images/github_logo_32px.png" /> <a class="reference external" href="https://github.com/adapt-python/notebooks/blob/d0364973c642ea4880756cef4e9f2ee8bb5e8495/Classification.ipynb">View on GitHub</a></p>
 </div><p>You will find here the application of DA methods from the ADAPT package on a simple two dimensional DA classification problem.</p>
 <p>First we import packages needed in the following. We will use <code class="docutils literal notranslate"><span class="pre">matplotlib</span> <span class="pre">Animation</span></code> tools in order to get a visual understanding of the mselected methods:</p>
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 <ul>
 <li class="toctree-l1"><a class="reference internal" href="../map.html">Choosing the right algorithm</a></li>
 <li class="toctree-l1"><a class="reference internal" href="Quick_start.html">Quick-Start</a></li>
+<li class="toctree-l1"><a class="reference internal" href="Developer_Guide.html">Developer Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API Documentation</span></p>
 <ul>