__init__.cpython-36.pyc Command
Install __init__.cpython-36.pyc
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Debian
apt-get install python3-celery
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Ubuntu
apt-get install python3-celery
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Kali Linux
apt-get install python3-celery
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Fedora
dnf install python3-celery
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Raspbian
apt-get install python3-celery
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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.
python3-theano
CPU/GPU math expression compiler for Python 3Theano is a Python library that allows one to define and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It provides a high-level Numpy like expression language for functional description of calculation, rearranges expressions for speed and stability, and generates native machine instructions for fast calculation. Optionally, highly accelerated computations could be carried out on graphics cards processors. This package contains Theano for Python 3. Theano development is ending: consider using Caffe or Torch instead.
python3-postgresql
pgsql driver, cluster management tools, and client toolspy-postgresql is a python3 DB-API driver, including cluster management tools and client development tools. Written in pure Python 3 with optional optimizations written in C. It provides support for protocol-level prepared statements, the COPY interface, arrays and composite types, and a console to run quick tests and simple scripts in PostgreSQL called pg_python.