Eng & Kwon - Scaling data workloads using the best of both worlds: pandas and Spark
![](https://i.ytimg.com/vi/jLATLMrkLy4/mqdefault.jpg)
1:04:12
Betchel & Kiraly - a workbench for creating scikit-learn like parametric objects and libraries
![](https://i.ytimg.com/vi/TrBpjYYJNUc/mqdefault.jpg)
27:35
Šimon Podhajský - Multi-Agent Frameworks: Teaming Up Specialized AI Models to Tackle Complex Tasks
![](https://i.ytimg.com/vi/xnF9QajUzv0/mqdefault.jpg)
39:11
Boosting Time Series Accuracy: The Power of Ensemble Methods - Robert Haase (Paretos)
![](https://i.ytimg.com/vi/bJouNc1REno/mqdefault.jpg)
53:32
Holden Karau: A brief introduction to Distributed Computing with PySpark
![](https://i.ytimg.com/vi/iw0uDjXqVBQ/mqdefault.jpg)
26:15
Day 3 Class #3 - 4C Session 5 - Pycon APAC 2024
![](https://i.ytimg.com/vi/dfPVSDBgMRY/mqdefault.jpg)
35:02
PyData Chicago December 2024 Meetup | Merging Monte Carlo Methods with Machine Learning
![](https://i.ytimg.com/vi/P_fHJIYENdI/mqdefault.jpg)
24:52
The Most Useful Thing AI Has Done
![](https://i.ytimg.com/vi/Aqa8MaMGpEs/mqdefault.jpg)
30:39