events.html

async task/job queue based on message passing (Documentation)

Install

All systems
curl cmd.cat/events.html.sh
Debian Debian
apt-get install python-celery-doc
Ubuntu
apt-get install python-celery-doc
image/svg+xml Kali Linux
apt-get install python-celery-doc
Fedora
dnf install python-celery-doc
Windows (WSL2)
sudo apt-get update sudo apt-get install python-celery-doc
Raspbian
apt-get install python-celery-doc

python-celery-doc

async task/job queue based on message passing (Documentation)

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 documentation.