v 2024.4.1 Updated: 7 months, 1 week ago
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.
| Installations | 1 |
| Requested Installations | 1 |