Update for 2021

d2a90c97 · Andreas Herten · cf15a880 · d2a90c97
Commit d2a90c97 authored 4 years ago by Andreas Herten
--- a/index.html
+++ b/index.html
@@ -64,17 +64,20 @@
 </head>
 <body>
  <header>
-    <h1>Introduction to Plotting with Pandas</h1>
-    <h2>Internal JSC Tutorial</h2>
+    <h1>Data Analysis and Plotting in Python with Pandas</h1>
+    <h2>FZJ/JSC Training Course</h2>
    <div clsas="sidenote">
-      <p>Held: Tuesday, 26 Feb 2019, 14:00, <strong>Lecture Room</strong> JSC</p>
-      <p>Duration: 120 min <em>(It was suppose to go 60 min, but there is just too much content; we were able to extend it to 120 min on-the-fly; 3 h would be more fitting, though.)</em></p>
-      <p>Abstract: Pandas is a Python package for data analysis and plotting which I come to like very much. Even though I don't do proper fancy-pants data analysis, I use it all the time to visualize some HPC-related data. I think you'll like it, too! 🐼 💖</p>
+      <p>Occasion 1: Thursday, 27 May 2021, 9:00 - 12:30, <strong>online</strong></p>
+      <p>Occasion 2: Wednesday, 2 June 2021, 9:00 - 12:30, <strong>online</strong></p>
+      <p>Pandas solves the full stack of data analysis in Python; reading-in of data, mangling and manipulation, analysis, and visualisation (and much more, actually). It builds up on established Python packages and can be used interchangeably with them (like Numpy, matplotlib); it fits perfectly into the Jupyter Notebooks workflow of modern-day data analysis. 🐼</p>
      <p>Setup: Lecture/hands-on sessions with prepared Jupyter Notebooks</p>
+      <p><strong>Video Conference</strong>: <a href="https://webconf.fz-juelich.de/b/and-dpz-oxw-rwc">webconf.fz-juelich.de/b/and-dpz-oxw-rwc</a></p>
    </div>
  </header>
  <section id="main">
    <h1>Tutorial Material</h1>
+    <emph>TBD</emph>
+    <!--
    <ul>
      <li><a href="pandas-tutorial-tasks.tar.gz">Task bundle</a> (Notebooks, data)</li>
      <li>Slides
@@ -85,12 +88,7 @@
        </ul>
      </li>
    </ul>
-    <h1>Further Information</h1>
-    <ul>
-      <li><a href="https://pollev.com/aherten538">Feedback poll</a></li>
-      <li>Install Python packages: <code>pip3 install jupyterlab pandas seaborn</code> or <a href="https://jupyter-jsc.fz-juelich.de">use Jupyter JSC</a></li>
-      <li><a href="https://gitlab.version.fz-juelich.de/herten1/jsc-pandas-introduction/">Gitlab repository</a> with <em>all</em> the things (incl. some behind-the-scenes info on the setup)</li>
-    </ul>
+    -->
  </section>
  <footer>
    <a href="mailto:a.herten@fz-juelich.de" rel="author">—Andreas Herten</a>