Test_beat.py Installation On A Debian, Ubuntu, Arch, Kali And Raspbian
test_beat.py
async task/job queue based on message passing (Python2 version)
Install test_beat.py
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Debian
apt-get install python-celeryClick to copy -
Ubuntu
apt-get install python-celeryClick to copy -
Arch Linux
pacman -S python-celeryClick to copy -
Kali Linux
apt-get install python-celeryClick to copy -
Raspbian
apt-get install python-celeryClick to copy
python-celery
async task/job queue based on message passing (Python2 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 2 version of the library.
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.