py313-dask (python/py-dask) Updated: 1 day ago Add to my watchlist
Minimal task scheduling abstraction.Dask provides multi-core execution on larger-than-memory datasets using blocked algorithms and task scheduling. It maps high-level NumPy, Pandas, and list operations on large datasets on to many operations on small in-memory datasets. It then executes these graphs in parallel on a single machine. Dask lets us use traditional NumPy, Pandas, and list programming while operating on inconveniently large data in a small amount of space.
Version: 2024.4.1 License: BSD
GitHub
4 build(s) found
| Builder | Build Number | Start Time | Elapsed Time | Watcher | Build Status |
|---|---|---|---|---|---|
| 10.6 | 187104 | 2024-11-23 23:12:01 | 0:00:45 | 65458 | build successful |
| 10.9 | 295686 | 2024-11-23 23:11:36 | 0:00:16 | 92414 | build successful |
| 13 | 82675 | 2024-11-23 23:09:30 | 0:00:52 | 27985 | build successful |
| 10.6.x86_64 | 222851 | 2024-11-23 23:09:07 | 0:01:11 | 65508 | build successful |