Martin Durant
where else to find them
linkedin:martin-durant-1a3b6676
what they talk about
all 5 in the filters
where they keep going back
- PyData Global4 editions2020–2024
on a stage with
- Jim Cristonce
who talks about the same things
- Matthew Rocklin13 talks
- Patrick Hoefler11 talks
- Julia Signell4 talks
- Dharhas Pothina5 talks
- Jim Crist5 talks
- Hendrik Makait4 talks
| title | conference | date |
|---|---|---|
| akimbo: vectorized processing of nested/ragged dataframe columns | PyData Global 2024 | 2024-12-03 |
Library akimbo brings a numpy-like API to Arrow-backed dataframe columns, letting awkward-style nested/ragged arrays be processed without Python iteration… | ||
| Intake 2 | PyData Global 2023 | 2023-12-06 |
Intake 2 is a complete rewrite that replaces tangled legacy APIs with a simpler reader interface and removes unused features, yielding tiny reader definitions… | ||
| Single node shared memory comes to dask | PyData Global 2022 | 2022-12-01 |
A Dask fork copies pickled buffers into shared memory so processes map the same bytes, demonstrating that scatter/replicate reduces memory from six workers to… | ||
| Asynchronous fsspec file operations | PyData Global 2020 | 2020-11-11 |
fsspec gains async/await compatibility for http, s3, gcs backends so code can call file APIs from asyncio and run many transfers in parallel. The… | ||
| Scaling PyData with Dask | PyData DC 2018 | 2018-11-16 |
Hands-on tutorial shows how to scale Pandas and scikit-learn using Dask on a cloud Jupyter/Kubernetes cluster, actually launching a cluster with 20 workers, 2… | ||
| Intake - taking the pain out of data access | PyData DC 2018 | 2018-11-16 |
Intake provides a concrete claim: a single API that turns catalog entries into usable data with a one-liner .read returns a pandas DataFrame, backed by YAML… | ||
| Intake: Taking the Pain Out of Data Access | PyData NYC 2018 | 2018-10-11 |
Intake provides a single interface and YAML-backed catalogs that describe data sources (CSV, Avro, S3, Azure, HTTP) and return a pandas DataFrame (or… | ||
| nothing matches | ||