Devin Petersohn
where else to find them
no profile links on file
what they talk about
all 5 in the filters
where they keep going back
- Ray Summit2 editions2020–2021
all 4 in the filters
on a stage with
never shared a talk
who talks about the same things
- Harizo Rajaona2 talks
- Stephen Simmons4 talks
- Jules S. Damji7 talks
- (unnamed presenter)4 talks
- Sammy Sidhu3 talks
- Han Wang13 talks
| title | conference | date |
|---|---|---|
| We don't dataframe shame: A love letter to dataframes | PyData Seattle 2025 | 2025-11-07 |
Claims a formal data frame model and an algebra that reduces pandas’ ~600 functions to 15 operators, shows how parallelism splits into row-wise and column-wise… | ||
| Scaling Interactive Data Science with Modin and Ray | Ray Summit 2021 | 2021-06-22 |
Modin runs as a drop-in replacement for pandas with native Ray and Dask execution and a plugin to hand work to external engines like OmniSci via Apache… | ||
| Data Scientists are More Valuable than Hardware: The Design of Modin | Ray Summit 2020 | 2020-09-30 |
Claim: data scientists are more valuable than hardware, so Modin makes pandas code run at cluster scale without rewriting. Modin is a drop-in pandas… | ||
| Learning to Scale Data Science, Machine Learning, and Pandas with Ray and Modin | PyData Los Angeles 2018 | 2018-10-17 |
A unified runtime called Ray actually runs Ray remote tasks and actors with a bottom-up scheduler, per-node object store, Redis-backed global control store… | ||
| Scaling Interactive Pandas Workflows with Modin | PyData NYC 2018 | 2018-10-11 |
Modin is a drop-in middle layer for pandas that speeds up interactive workflows by changing one import import modin.pandas as pd and running on Ray with block… | ||
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