Kevin Kho
where else to find them
what they talk about
all 4 in the filters
where they keep going back
- PyCon US3 editions2021–2024
on a stage with
- Han Wang3×
who talks about the same things
- Han Wang13 talks
- Megan Yow2 talks
- Patrick Hoefler11 talks
- Matthew Rocklin13 talks
- Holden Karau39 talks
- Amanda Moran7 talks
| title | conference | date |
|---|---|---|
| Speed is Not All You Need for Data Processing | PyCon US 2024 | 2024-05-15 |
Benchmarks compare Pandas, Polars, DuckDB, Spark and Dask across sizes and show context matters: synthetic TPCH/H2O numbers report DuckDB 80x improvement but… | ||
| Comparing the Different Ways to Scale Python and Pandas Code | PyCon US 2022 | 2022-04-27 |
Fugue provides a concrete bridge: the transform() function runs a single Python/Pandas function on Pandas Spark or Dask by swapping an engine, and a benchmark… | ||
| Scaling Machine Learning Workflows to Big Data with Fugue | KubeCon + CloudNativeCon North America 2021 | 2021-10-11 |
Fugue lets native Python/Pandas logic run unchanged on Spark or Dask by translating a few calls into engine operations; demos convert a row-wise concat and a… | ||
| Large Scale Data Validation (with Spark and Dask) | PyCon US 2021 | 2021-05-14 |
Compares Great Expectations (pandas + Spark) and Pandera (pandas only), shows tradeoffs: Great Expectations gives data docs and detailed failure output and… | ||
| nothing matches | ||