deploy: 7f74463

02_plotting/intro.html

@@ -411,7 +411,7 @@ <h1>Plotting Data with Python<a class="headerlink" href="#plotting-data-with-pyt
 <p>Finally, you will employ all the tools learned during the previous sections to work on a complete image analysis workflow, from reading raw images, through image processing and feature extraction, to displaying your data analysis results in figures.</p>
 <p>We will use these two presentations:</p>
 <ul class="simple">
-<li><p>[Preparing Visuals of Data Analysis DV](./Preparing Visuals of Data Analysis DV.pdf)</p></li>
+<li><p><a class="reference download internal" download="" href="../_downloads/c2f02196c4ee04184eb359b9e5ef82f8/Preparing_Visuals_of_Data_Analysis_DV.pdf"><span class="xref download myst">Preparing Visuals of Data Analysis DV</span></a></p></li>
 <li><p><a class="reference download internal" download="" href="../_downloads/1a27f61c8a10e7f1e0479acc21027ad2/Plotting.pdf"><span class="xref download myst">Plotting</span></a></p></li>
 </ul>
 <div class="toctree-wrapper compound">

_sources/02_plotting/intro.md

@@ -7,5 +7,5 @@ We then look at sophisticated and stylish plots straight from pandas dataframes.
 Finally, you will employ all the tools learned during the previous sections to work on a complete image analysis workflow, from reading raw images, through image processing and feature extraction, to displaying your data analysis results in figures.
 
 We will use these two presentations:
- * [Preparing Visuals of Data Analysis DV](./Preparing Visuals of Data Analysis DV.pdf)
+ * [Preparing Visuals of Data Analysis DV](./Preparing_Visuals_of_Data_Analysis_DV.pdf)
  * [Plotting](./Plotting.pdf)