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669: Streaming, reactive, real-time machine learning — with Adrian Kosowski
Rediscovering single-node processing: When does it make sense to move from Spark to Polars
10. ADRIAN KOSOWSKI - finalista THE LOOK OF THE YEAR 2019
Aaron Richter- Parallel Processing in Python| PyData Global 2020
High Performance Python - Gus Cavanaugh | PyData Global 2021
Juan Luis Cano Rodríguez - Expressive & fast dataframes in Python with polars | PyData Global 2022
Introduction to Data Processing in Python with Pandas | SciPy 2019 Tutorial | Daniel Chen
Data Processing at Scale - Ruben Mak | PyData Global 2021
632: Liquid Neural Networks — with Adrian Kosowski
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Last Updated: August 16, 2026
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