shell cpython 37 pyc

Shell.cpython-37.pyc Command

Shell.cpython-37.pyc Command

shell.cpython-37.pyc

async task/job queue based on message passing (Python3 version)

Maintainer: Debian Python Modules Team



Section: python

Install shell.cpython-37.pyc

  • Debian apt-get install python-celery Click to copy
  • Ubuntu apt-get install python-celery Click to copy
  • Arch Linux pacman -S python-celery Click to copy
  • Kali Linux apt-get install python-celery Click to copy
  • Fedora dnf install python3-celery Click to copy
  • Raspbian apt-get install python-celery Click to copy

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.

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.

To install the latest version of shell.cpython-37.pyc in your favorite operating system just copy the shell.cpython-37.pyc installation command from above and paste it into terminal. It will download and install the latest version of shell.cpython-37.pyc 2023 package in your OS.