Eric Dill: Is Spark still relevant? Multi-node CPU and single-node GPU workloads.. | PyData NYC 2019
31:03
Aditya Lahiri: Dealing With Imbalanced Classes in Machine Learning | PyData New York 2019
34:11
Aaron Richter- Parallel Processing in Python| PyData Global 2020
39:43
Functional Data Engineering - A Set of Best Practices | Lyft
27:50
Similarities and differences of Spark, Dask, and Ray by Holden Karau
34:26
Michael Johns: Propensity Score Matching: A Non-experimental Approach to Causal... | PyData NYC 2019
33:47
Amanda Moran: Pandas vs Koalas: The Ultimate Showdown! | PyData New York 2019
24:21
Next Generation Big Data Pipelines with Prefect and Dask
24:58