Jim Crist
where else to find them
what they talk about
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- David Mertzonce
- Martin Durantonce
who talks about the same things
- Matthew Rocklin13 talks
- Richard Pelgrim2 talks
- David Mertz2 talks
- Hendrik Makait4 talks
- Julia Signell4 talks
- James Bourbeau2 talks
| title | conference | date |
|---|---|---|
| Introducting Dask-Gateway: Dask clusters as a service | PyData Austin 2019 | 2019-12-07 |
Dask-Gateway provides a secure, multi‑tenant server that lets users launch Dask clusters via a REST API and central admin policies, supporting backends like… | ||
| 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… | ||
| Skein: a simpler way to deploy applications on Hadoop Clusters | PyData DC 2018 | 2018-11-16 |
Skein is a small library and CLI that actually runs Python apps on Apache YARN by shipping a Java application master that speaks gRPC to Python clients and… | ||
| Parallelizing Scientific Python with Dask | PyData Seattle 2017 | 2017-06-30 |
Dask claims to parallelize familiar NumPy/Pandas workflows across cores or a cluster by building task graphs and running them on schedulers. Examples show… | ||
| Make it Work, Make it Right, Make it Fast Debugging and Profiling in Dask | PyData Seattle 2017 | 2017-06-30 |
Shows concrete before and after: a serial pandas run ~13s reduced to ~9s then to ~4s and finally ~2s by changing algorithm and scheduler. Demonstrates tools… | ||
| nothing matches | ||