commit | 98eadb9f98ef80b4fd6d370b8252d1b5d4f41c50 | [log] [tgz] |
---|---|---|
author | aiordache <anca.iordache@docker.com> | Mon Feb 15 15:08:12 2021 |
committer | aiordache <anca.iordache@docker.com> | Mon Feb 15 15:08:12 2021 |
tree | b7d18256f9a0856e103826c23be82bc5d3cfa228 | |
parent | 93e02ab207a23841a19c62f221c93fda7cde88a9 [diff] |
Release 4.4.2 Signed-off-by: aiordache <anca.iordache@docker.com>
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.