| commit | 80878bc61064616a26a3c9423fab4049ad50260d | [log] [tgz] |
|---|---|---|
| author | Anca Iordache <anca.iordache@docker.com> | Tue Apr 06 16:52:03 2021 |
| committer | Anca Iordache <anca.iordache@docker.com> | Tue Apr 06 16:52:03 2021 |
| tree | f91546ab3a1dba40d5a8c6116ac7570350885ce2 | |
| parent | 96c12726fdb9b24e985b4de74d5c82145ccd8185 [diff] |
Update changelog for the 5.0.0 release Signed-off-by: Anca Iordache <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.