Using Docker with Python

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Python packaging is awkward and confusing. Docker is a collection of various Linux features - namespaces, cgroups, union file-system - put together in such a way that you can package and distribute software in a language-agnostic container. Docker is a great way to skirt the pain of Python packaging.
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Further Reading

  • Docker 101If you're getting started with Docker, or want to go in depth, we have you covered with comprehensive reviews of the most important topics concerning Docker engineers.
  • Basic Docker OperationsResources about the basic Docker operations such as running Docker containers, working with dockerfiles, Docker securit, creating and sharing Docker images, storing data within containers and more.
  • Docker AdministrationResources about the Docker administrative procedures such as Docker configuration, collecting Docker metrics, Docker logging and more.
  • Docker Security ResourcesResources about the the basic security considerations of running an application within a Docker container, including Docker security best practices, Docker trusted images, isolating Docker containers and more.
  • Docker OS InteractionResources about the interaction between Docker and legacy operating systems such as Windows, Linux, Mac and more.
  • Docker With Other ToolsResources about using Docker containers with tools, services and environments like NGINX, Jenkins, PosgreSQL, ElasticSearch and more.
  • Docker APIDocker provides an API for interacting with the Docker daemon (called the Docker Engine API), as well as SDKs for Go and Python. This page gathers resources about the Docker remote API, using the Docker API in different environments like Python, Node.js and Java.
  • Docker ComposeDocker Compose is a tool for defining and running multi-container Docker applications. With Compose, you use a YAML file to configure your application’s services. Then, with a single command, you create and start all the services from your configuration.

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