<p>Tuesday, 26 Feb 2019, 14:00, <strong>Lecture Room</strong> JSC</p>
<divclsas="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>Setup: Lecture/hands-on sessions with prepared Jupyter Notebooks</p>
<li><ahref="https://gitlab.version.fz-juelich.de/herten1/jsc-pandas-introduction/">Gitlab repository with <em>all</em> the things</a></li>
<li><ahref="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>