This port has been deleted. This page will exist till another port with the name "py35-dask" comes
into existence.
py35-dask (python/py-dask) 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: 2.6.0 License: BSDStatistics for selected duration
2025-Jan-25 to 2025-Feb-24
No stats available for this selection.
Try changing the range of days. Alternatively visit statistics page to have an overall look at the submitted statistics.