Naty Clementi
where else to find them
what they talk about
all 7 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Phillip Cloud2×
- Gil Forsythonce
- Jim Crist-Harifonce
all 4 in the filters
who talks about the same things
- Phillip Cloud5 talks
- Catherine Devlin10 talks
- Keith Kraus4 talks
- Patrick Hoefler11 talks
- Matthew Rocklin13 talks
- Skipper Seabold3 talks
| title | conference | date |
|---|---|---|
| RAPIDS: GPU-Accelerated Data Science for PyData Users | PyData Virginia 2025 | 2025-04-18 |
Claim: RAPIDS makes end-to-end PyData pipelines run on NVIDIA GPUs with cuDF (GPU-accelerated pandas) and cuML / QML (GPU scikit-learn), showing real examples… | ||
| Ibis, DuckDB, and GeoParquet: Making geospatial analytics fast, simple, and Pythonic | DuckCon #6 | 2025-01-31 |
Connected an Ibis session to DuckDB, reading Amsterdam OpenStreetMap GeoParquet from S3, filtering 50+ geospatial formats into a geometry column. Create a… | ||
| Introduction to Ibis: blazing fast analytics with DuckDB... | PyCon US 2024 | 2024-05-15 |
Full title: Tutorials: Introduction to Ibis: blazing fast analytics with DuckDB, Polars, Snowflake, and more, from the comfort of your Python repl.
Presented… | ||
| Because SQL Is Everywhere | PyCon US 2024 | 2024-05-15 |
The talk explains why SQL remains ubiquitous in data work and introduces Ibis, a pure-Python library that provides a DataFrame-like API to build composable… | ||
| Open Source meets Enterprise: The right way. | PyData Seattle 2023 | 2023-04-26 |
Shows concrete changes: Dask QN reduces memory use ~80%, with a live demo where the old scheduler spills to disk and the new one runs about 6–7x faster on the… | ||
| nothing matches | ||