Update documentation

README.html

@@ -189,7 +189,7 @@
 <li class="toctree-l1"><a class="reference internal" href="notebooks/10/nn-reservoir-computing.html">Neural networks and Reservoir Computing</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notebooks/11/nonlinear-ts.html">Nonlinear time series analysis</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notebooks/12/classification-clustering.html">Time series classification and clustering</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/00/resources.html">Resources</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/00/resources.html">Resources and acknowledgments</a></li>
 </ul>
 
     </div>
@@ -410,8 +410,7 @@ <h1>Time Series Analysis with Python<a class="headerlink" href="#time-series-ana
 </div>
 <br>
 <p>This is the collection of notebooks for the course <em>Time Series Analysis with Python</em>.
-You can view and execute the notebooks by clicking on the links below.</p>
-<p>More info about the course is <a class="reference external" href="https://filippomb.github.io/python-time-series-handbook">here</a>.</p>
+You can view and execute the notebooks by clicking on the buttons below.</p>
 <section id="content">
 <h2>📑 Content<a class="headerlink" href="#content" title="Link to this heading">#</a></h2>
 <ol class="arabic">

_sources/README.md

@@ -11,9 +11,7 @@
 <br>
 
 This is the collection of notebooks for the course *Time Series Analysis with Python*.
-You can view and execute the notebooks by clicking on the links below.
-
-More info about the course is [here](https://filippomb.github.io/python-time-series-handbook).
+You can view and execute the notebooks by clicking on the buttons below.
 
 ## 📑 Content