#PyCon and hashtag#PyData Berlin is over and we collectively have landed back in reality.
In retrospect I have mixed feelings about the conference. On the plus side I was lucky to meet with a diverse group of interesting people, especially during the social event. š„³
Unfortunately the quality of the talks was very hit and miss. Hereās an incomplete list of the ones I would recommend checking out - as far as I know they will be slowly released on YouTube:
Marco Gorelliās talk on polars š»āāļø plugins: https://pretalx.com/pyconde-pydata-2024/talk/LNFSDV/
Charles Truong gave an interesting talk about ārupturesā library for change-point detection data š for timeseries analysis. https://pretalx.com/pyconde-pydata-2024/talk/ZKYA9W/
Katharine Jarmul gave a great talk on the problem of knowledge leakage š©āš¬from ML models. https://pretalx.com/pyconde-pydata-2024/talk/BFF9VA/
If your looking for a high-performance dataviz framework that is able to handle streaming data within milliseconds š you should give a look to Tim Paineās talk on Perspective https://pretalx.com/pyconde-pydata-2024/talk/9JEZ8E/