Parallel PyData with Task Scheduling

Navigation

Project links

Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: BSD License (BSD-3-Clause)

Maintainer: Matthew Rocklin

Tags task-scheduling, parallel, numpy, pandas, pydata

Requires: Python >=3.9

Maintainers

Avatar for fjetter from gravatar.com fjetter Avatar for jacob.tomlinson from gravatar.com jacob.tomlinson Avatar for jakirkham from gravatar.com jakirkham Avatar for jcrist from gravatar.com jcrist Avatar for jrbourbeau from gravatar.com jrbourbeau Avatar for jsignell from gravatar.com jsignell Avatar for mrocklin from gravatar.com mrocklin Avatar for tomaugspurger from gravatar.com tomaugspurger

Classifiers

Project description

Build Status Coverage status Documentation Status Discuss Dask-related things and ask for help Version Status NumFOCUS

Dask is a flexible parallel computing library for analytics. See documentation for more information.

LICENSE

New BSD. See License File.

Project details

Project links

Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: BSD License (BSD-3-Clause)

Maintainer: Matthew Rocklin

Tags task-scheduling, parallel, numpy, pandas, pydata

Requires: Python >=3.9

Maintainers

Avatar for fjetter from gravatar.com fjetter Avatar for jacob.tomlinson from gravatar.com jacob.tomlinson Avatar for jakirkham from gravatar.com jakirkham Avatar for jcrist from gravatar.com jcrist Avatar for jrbourbeau from gravatar.com jrbourbeau Avatar for jsignell from gravatar.com jsignell Avatar for mrocklin from gravatar.com mrocklin Avatar for tomaugspurger from gravatar.com tomaugspurger

Classifiers


Release history Release notifications | RSS feed

This version

2023.11.0

2023.10.1

2023.10.0

2023.9.3

2023.9.2

2023.9.1

2023.9.0

2023.8.1

2023.8.0

2023.7.1

2023.7.0

2023.6.1

2023.6.0

2023.5.1

2023.5.0

2023.4.1

2023.4.0

2023.3.2

2023.3.1

2023.3.0

2023.2.1

2023.2.0

2023.1.1

2023.1.0

2022.12.1

2022.12.0

2022.11.1

2022.11.0

2022.10.2

2022.10.1 yanked

2022.10.0

2022.9.2

2022.9.1

2022.9.0

2022.8.1

2022.8.0

2022.7.1

2022.7.0

2022.6.1

2022.6.0

2022.5.2

2022.5.1

2022.5.0

2022.4.2

2022.4.1

2022.4.0

2022.3.0

2022.2.1

2022.2.0

2022.1.1

2022.1.0

2021.12.0

2021.11.2

2021.11.1

2021.11.0

2021.10.0

2021.9.1

2021.9.0

2021.8.1

2021.8.0

2021.7.2

2021.7.1

2021.7.0

2021.6.2

2021.6.1

2021.6.0

2021.5.1

2021.5.0

2021.4.1

2021.4.0

2021.3.1

2021.3.0

2021.2.0

2021.1.1

2021.1.0

2020.12.0

2.30.0

2.29.0

2.28.0

2.27.0

2.26.0

2.25.0

2.24.0

2.23.0

2.22.0

2.21.0

2.20.0

2.19.0

2.18.1

2.18.0

2.17.2

2.17.1

2.17.0

2.16.0

2.15.0

2.14.0

2.13.0

2.12.0

2.11.0

2.10.1

2.10.0

2.9.2

2.9.1

2.9.0

2.8.1

2.8.0

2.7.0

2.6.0

2.5.2

2.5.0

2.4.0

2.3.0

2.2.0

2.1.0

2.0.0

1.2.2

1.2.1

1.2.0

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.0

0.20.2

0.20.1

0.20.0

0.19.4

0.19.3

0.19.2

0.19.1

0.19.0

0.18.2

0.18.1

0.18.0

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.1

0.16.0

0.15.4

0.15.3

0.15.2

0.15.1

0.15.0

0.14.3

0.14.2

0.14.1

0.14.0

0.13.0

0.13.0rc1 pre-release

0.12.0

0.11.1

0.11.0

0.10.2

0.10.1

0.10.0

0.9.0

0.8.2

0.8.1

0.8.0

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.1

0.6.0

0.5.0

0.4.0

0.3.0

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dask-2023.11.0.tar.gz (8.5 MB view hashes)

Uploaded source

Built Distribution

dask-2023.11.0-py3-none-any.whl (1.2 MB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page