openSUSE Tumbleweed native package

python313-dask-array

Numpy-like array data structure for dask

Packages / openSUSE Tumbleweed / Unspecified / python313-dask-array

[Source: python-dask]

Package: python313-dask-array (2026.6.0-1.2)

External Resources:

Homepage: [dask.org]

Similar packages:

[python313-dask]
Minimal task scheduling abstraction
[python313-dask-complete]
All dask components
[python313-dask-dataframe]
Pandas-like DataFrame data structure for dask
[python313-dask-diagnostics]
Diagnostics for dask
[python313-dask-distributed]
Interface with the distributed task scheduler in dask
[python313-dask-test]
The test submodules of the python-dask package
[python314-dask]
Minimal task scheduling abstraction
[python314-dask-array]
Numpy-like array data structure for dask
[python314-dask-complete]
All dask components
[python314-dask-dataframe]
Pandas-like DataFrame data structure for dask
[python314-dask-diagnostics]
Diagnostics for dask
[python314-dask-distributed]
Interface with the distributed task scheduler in dask
[python314-dask-test]
The test submodules of the python-dask package

Numpy-like array data structure for dask

A flexible library for parallel computing in Python. Dask is composed of two parts: - Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. - “Big Data” collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of dynamic task schedulers. 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.

Other Packages Related to python313-dask-array:

dep: python(abi) (= 3.13)
Package not available
dep: [python313-dask] (= 2026.6.0)
Minimal task scheduling abstraction
dep: python313-dask-delayed (= 2026.6.0)
Package not available
dep: [python313-numpy] (>= 1.24)
NumPy array processing for numbers, strings, records and objects

rec: [python313-scipy]
Scientific Tools for Python

Download python313-dask-array

Architecture	Package Size	Installed Size	Files
noarch	644 KiB	3.4 MiB	[list of files]

Шляхи файлів пакета (179)

Paths come from the repository package-file index for the observed builds. They describe archive/package associations, not every file that will exist on a running system after maintainer scripts, alternatives, generated state, diversions, or installation choices.

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Field source: openSUSE Tumbleweed OSS revision tumbleweed-oss-multiarch:4db10cdde3ad82c7e22be35753c9e164b4bdd30f92db4aee17a0d4c94c5f902f

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https://download.opensuse.org/tumbleweed/repo/oss/repodata/repomd.xml
Signed-object SHA-256
4db10cdde3ad82c7e22be35753c9e164b4bdd30f92db4aee17a0d4c94c5f902f
Signer fingerprint
AD485664E901B867051AB15F35A2F86E29B700A4
Keyring revision
opensuse-project-signing-key.asc
SHA-256 b5745739ebfb95b25b8e810f9bcb847fe750ccda598bd85f02f0e974599a6d7e
Tool and policy
gpgv (GnuPG) 2.4.9
openfactory-software-catalog-signature-v1
Verification time
Sep 1, 2026
Signed Release → package-index hash linkage
Path: Not recorded
Expected SHA-256: Not recorded
Observed SHA-256: Not recorded
Result: match verified