Wes McKinney
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- Matthew Topol9 talks
- Uwe L. Korn9 talks
- Raúl Cumplido6 talks
- Sudheesh Katkam2 talks
- Will Ayd3 talks
- Alenka Frim6 talks
| title | conference | date |
|---|---|---|
| Exploring Datasets in Positron | posit::conf(2025) | 2025-09-16 |
Positron ships a Data Explorer that actually handles massive tables — DuckDB powers billion‑row/backend queries and the UI works with millions of rows or… | ||
| Retooling for a Smaller Data Era | PyData Global 2024 | 2024-12-03 |
Argues that real progress is concrete: adoption of DuckDB and DataFusion as embeddable engines, a common memory format in Apache Arrow, and multi-backend APIs… | ||
| Apache Arrow: High-Performance Columnar Data Framework | Vaccination Database Talks (Second Dose) 2021 | 2021-09-15 |
Apache Arrow presents a stable 1.0 interprocess protocol (declared mid‑2020) and a component toolbox that yields near-zero-copy interoperability: the C data… | ||
| Keynote: Scalable Python We Can Afford | Ray Summit 2020 | 2020-09-30 |
Pandas often requires 10× RAM because data must be RAM resident and many algorithms remain single threaded and inefficient for strings; scaling by naively… | ||
| Ursa Labs and Apache Arrow in 2019 | rstudio::conf 2019 | 2019-01-15 |
A not-for-profit development group called URSA labs forms to steward Apache Arrow work with sponsors like 2 Sigma and Nvidia and a distributed team of five… | ||
| Ursa Labs and Apache Arrow in 2019 | PyData Miami 2019 | 2019-01-09 |
Ursa Labs forms as a nonprofit to fund Apache Arrow work with five full‑time engineers and a 2019 roadmap. Arrow defines a shared in‑memory tabular format used… | ||
| Python Data Ecosystem: Thoughts on Building for the Future | PyData Berlin 2016 | 2016-05-20 |
Discussion centers on concrete work not platitudes: a C++11 library and bindings that implement a columnar in‑memory format called Arrow, a tiny file format… | ||
| nothing matches | ||