__init__.cpython-37.opt-1.pyc

A tool for provisioning Jenkins components for CI

Install

All systems
curl cmd.cat/__init__.cpython-37.opt-1.pyc.sh
Debian Debian
apt-get install mailman3
Ubuntu
apt-get install mailman3
Arch Arch Linux
pacman -S python-pytorch-cuda
image/svg+xml Kali Linux
apt-get install mailman3
Fedora
dnf install mailman3
Windows (WSL2)
sudo apt-get update sudo apt-get install mailman3

cinch

A tool for provisioning Jenkins components for CI

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-postgresql

pgsql driver, cluster management tools, and client tools

py-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.

python3-theano

CPU/GPU math expression compiler for Python 3

Theano 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.

mailman3

Mailing list management system

This is GNU Mailman version 3, a mailing list management system. This package provides the core delivery engine of the system, which handles the mailing lists data, receives messages, handles the moderation and processing of these messages and delivers them to the mailing lists subscribers. It communicates with the other components through a private administrative REST API. Default database backend is SQLite3 in order to not break automated installations. For productive setups, PostgreSQL or MySQL are much better options though. See README.Debian for further information. In order to get the full Mailman3 system, the metapackage 'mailman3-full' should be installed.

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.

python-pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

python-pytorch-cuda

Tensors and Dynamic neural networks in Python with strong GPU acceleration