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docker-py
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Harness the power of Docker through Python effortlessly.
Pitch

Unlock the full potential of Docker in your Python applications with this robust library. Effortlessly manage containers, Swarms, and images just as you would from the command line. With easy installation and seamless integration, you can elevate your development workflow and bring your projects to life with powerful container orchestration.

Description

Docker SDK for Python is a robust library that provides a seamless interface for interacting with the Docker Engine API directly from your Python applications. With this library, you can perform any action that the docker command line tool supports, including running and managing containers, handling Swarm services, and more, all within the Python ecosystem.

Key Features:

  • Comprehensive Docker API Access: Execute all Docker commands programmatically using Python, enabling full control over your containerized environments.
  • Run Containers: Easily run containers and execute commands inside them. For instance:
    import docker
    client = docker.from_env()
    client.containers.run("ubuntu:latest", "echo hello world")  # Output: 'hello world\n'
    
  • Detached Container Operations: Support for background operations allows you to run containers without blocking your main operations:
    client.containers.run("bfirsh/reticulate-splines", detach=True)
    
  • Container Management: Retrieve the list of running containers, access specific containers by ID, inspect their properties, and even stop them gracefully:
    container = client.containers.get('45e6d2de7c54')
    container.logs()  # Access logs
    container.stop()  # Stop the container
    
  • Real-time Log Streaming: Stream logs from your containers for dynamic monitoring:
    for line in container.logs(stream=True):
        print(line.strip())
    
  • Image Management: Pull and list Docker images with ease, simplifying container image lifecycle management:
    client.images.pull('nginx')  # Pull the nginx image
    

For further details and advanced usage, check out the comprehensive documentation, which provides more insights on what you can achieve with the Docker SDK for Python.