commit | e0024b5b3fee98813830414d5d603252c2597c45 | [log] [tgz] |
---|---|---|
author | Joffrey F <f.joffrey@gmail.com> | Sat Mar 16 18:54:40 2019 |
committer | GitHub <noreply@github.com> | Sat Mar 16 18:54:40 2019 |
tree | 58688853383cd6b43c103965bbf581a72cf2cbff | |
parent | 4d7d4084138fa6161ef5f31d410b0d326d41f777 [diff] | |
parent | 55ffb761bffd8b6382332faf3e3375817706c690 [diff] |
Merge pull request #2203 from docker/terminate_3.3_support [4.0] Terminate support for Python 3.3 (EOL in 2018)
A Python library for the Docker Engine API. It lets you do anything the docker
command does, but from within Python apps – run containers, manage containers, manage Swarms, etc.
The latest stable version is available on PyPI. Either add docker
to your requirements.txt
file or install with pip:
pip install docker
If you are intending to connect to a docker host via TLS, add docker[tls]
to your requirements instead, or install with pip:
pip install docker[tls]
Connect to Docker using the default socket or the configuration in your environment:
import docker client = docker.from_env()
You can run containers:
>>> client.containers.run("ubuntu:latest", "echo hello world") 'hello world\n'
You can run containers in the background:
>>> client.containers.run("bfirsh/reticulate-splines", detach=True) <Container '45e6d2de7c54'>
You can manage containers:
>>> client.containers.list() [<Container '45e6d2de7c54'>, <Container 'db18e4f20eaa'>, ...] >>> container = client.containers.get('45e6d2de7c54') >>> container.attrs['Config']['Image'] "bfirsh/reticulate-splines" >>> container.logs() "Reticulating spline 1...\n" >>> container.stop()
You can stream logs:
>>> for line in container.logs(stream=True): ... print line.strip() Reticulating spline 2... Reticulating spline 3... ...
You can manage images:
>>> client.images.pull('nginx') <Image 'nginx'> >>> client.images.list() [<Image 'ubuntu'>, <Image 'nginx'>, ...]
Read the full documentation to see everything you can do.