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A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the dask bag class. Dask.Bag parallelizes computations across a large collection of generic Python objects. It is particularly useful when dealing with large quantities of semi-structured data like JSON blobs or log files.
| Package | Summary | Distribution | Download |
| python3-dask-bag-1.1.1-bp156.3.3.noarch.html | Data structure generic python objects in dask | OpenSuSE Leap 15.6 for noarch | python3-dask-bag-1.1.1-bp156.3.3.noarch.rpm |
| python3-dask-bag-1.1.1-bp155.2.16.noarch.html | Data structure generic python objects in dask | OpenSuSE Leap 15.5 for noarch | python3-dask-bag-1.1.1-bp155.2.16.noarch.rpm |
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