diff --git a/index.html b/index.html index a96043f2b6f2668e88107cde7bbfee6f557517e4..7eb44ef9dd338b3788d5ff4389c43dfbd0b5a992 100644 --- 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>