docker-py

You can manage Docker containers from Python code by using the docker SDK to control the Docker Engine API. This replaces manual CLI interactions, allowing you to programmatically run, start, stop, inspect, and remove containers within your automation workflows.

The best way to run commands inside a Docker container using Python is through the docker SDK's exec_run method. This programmatic approach captures container logs and awaits execution results directly from your Python application.

Python handles Docker API errors using explicit exceptions defined in the docker SDK, such as ImageNotFound, NotFound, and APIError. You can catch these specific exceptions in your code to manage missing images or API failures gracefully.

Yes, you can use Python to build and pull Docker images, manage volumes, and control networks. The docker SDK provides programmatic methods to handle these operations alongside container management tasks.

You need the Docker Engine running, but you do not need manual CLI interactions to control Docker from Python. By installing the docker package and calling docker.from_env(), your Python app communicates directly with the Engine API.