beat.cpython-36.pyc
async task/job queue based on message passing (Python3 version)
Install
- All systems
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curl cmd.cat/beat.cpython-36.pyc.sh
- Debian
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apt-get install python3-celery - Ubuntu
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apt-get install python3-celery - Kali Linux
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apt-get install python3-celery - Fedora
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dnf install python3-celery - Windows (WSL2)
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sudo apt-get updatesudo apt-get install python3-celery - Raspbian
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apt-get install python3-celery - Dockerfile
- dockerfile.run/beat.cpython-36.pyc
python3-celery
async task/job queue based on message passing (Python3 version)
Celery is an open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django ORM) is also available. Celery is easy to integrate with Django, using the python-django-celery package. This package contains the Python 3 version of the library.