commit | a48a5a9647761406d66e8271f19fab7fa0c5f582 | [log] [tgz] |
---|---|---|
author | Stefan Scherer <stefan.scherer@docker.com> | Thu Oct 14 17:25:22 2021 |
committer | GitHub <noreply@github.com> | Thu Oct 14 17:25:22 2021 |
tree | 391594baa59a9662794de1c363e17ba06f887aa9 | |
parent | ac5f6ef93aa392090b5e6bc3c8b1112cf0c8981d [diff] | |
parent | 4bb99311e2911406dde543117438782a9524feea [diff] |
Merge pull request #2898 from hugovk/add-3.10 Add support for Python 3.10
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.