py314-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: 2025.9.1 License: BSD
GitHub
6 build(s) found
| Builder | Build Number | Start Time | Elapsed Time | Watcher | Build Status |
|---|---|---|---|---|---|
| 12 | 146755 | 2025-12-30 17:13:48 | 0:00:20 | 52920 | build successful |
| 10.6.x86_64 | 255082 | 2025-12-30 17:13:12 | 0:00:30 | 76287 | build successful |
| 10.11 | 307060 | 2025-12-30 17:12:11 | 0:00:18 | 103593 | build successful |
| 11 | 197059 | 2025-12-30 17:11:43 | 0:00:22 | 64024 | build successful |
| 10.10 | 315529 | 2025-12-30 17:10:53 | 0:00:35 | 103445 | build successful |
| 10.12 | 317523 | 2025-12-30 17:10:32 | 0:00:42 | 102330 | build successful |