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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 array class. Dask arrays implement a subset of the NumPy interface on large arrays using blocked algorithms and task scheduling.
| Package | Summary | Distribution | Download |
| python3-dask-array-1.1.1-bp156.3.3.noarch.html | Numpy-like array data structure for dask | OpenSuSE Leap 15.6 for noarch | python3-dask-array-1.1.1-bp156.3.3.noarch.rpm |
| python3-dask-array-1.1.1-bp155.2.16.noarch.html | Numpy-like array data structure for dask | OpenSuSE Leap 15.5 for noarch | python3-dask-array-1.1.1-bp155.2.16.noarch.rpm |
| python3-dask-array-1.1.1-bp154.1.56.noarch.html | Numpy-like array data structure for dask | OpenSuSE Leap 15.4 for noarch | python3-dask-array-1.1.1-bp154.1.56.noarch.rpm |
| python3-dask-array-1.1.1-bp153.2.9.noarch.html | Numpy-like array data structure for dask | OpenSuSE Leap 15.3 for noarch | python3-dask-array-1.1.1-bp153.2.9.noarch.rpm |
| python3-dask-array-1.1.1-lp152.2.4.noarch.html | Numpy-like array data structure for dask | OpenSuSE Leap 15.2 for noarch | python3-dask-array-1.1.1-lp152.2.4.noarch.rpm |
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