Binary package “python-dask-doc” in ubuntu jammy
Minimal task scheduling abstraction documentation
Dask is a flexible parallel computing library for analytics,
containing two components.
.
1. Dynamic task scheduling optimized for computation. This is similar
to Airflow, Luigi, Celery, or Make, but optimized for interactive
computational workloads.
2. "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 the dynamic task schedulers.
.
This contains the documentation
Source package
Published versions
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in amd64 (Proposed)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in amd64 (Release)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in arm64 (Proposed)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in arm64 (Release)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in armhf (Proposed)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in armhf (Release)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in i386 (Proposed)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in i386 (Release)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in ppc64el (Proposed)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in ppc64el (Release)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in riscv64 (Proposed)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in riscv64 (Release)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in s390x (Proposed)
- python-dask-doc 2022.01.0+dfsg-1ubuntu1 in s390x (Release)