This article shows how to install Python on Red Hat Enterprise Linux (RHEL), including both versions 3 and 2 of Python along with the pip, vent, virtualenv, and pipenv utilities. The article starts with RHEL 9 and continues with RHEL 8 and RHEL 7, including plenty of tips useful in all versions. The article also covers virtual environments, which help you ensure that your applications have the correct versions of Perl and related modules.

You can use Docker with the Dev Containers extension in a few ways:

• Docker installed locally.
• Docker installed on another machine or remote environment.
  • You only need Docker installed on the remote host, rather than Docker installed locally.
• Other Docker compliant CLIs, installed locally or in a remote environment.
  • For instance, Rancher Desktop is another way to install Docker, providing container management and Kubernetes on Windows, macOS, and Linux.
  • Since Rancher Desktop supports Docker CLI via Moby, you can use Dev Containers extension with it. You may learn how to get started in Rancher Desktop's guide.
  • Dev Containers interacts with CLIs; it makes no assumptions about how a container engine works and does not interact with container engines or daemons directly.
  • Note that other Docker compliant CLIs are not officially supported.

Continue reading to learn alternate ways you can install and use Docker or a Docker compliant CLI.

• VSCode extension: Dev Containers
• GitHub - microsoft/vscode-remote-release: Visual Studio Code Remote Development: Open any folder in WSL, in a Docker container, or on a remote machine using SSH and take advantage of VS Code's full feature set.
• Visual Studio Code Remote Development
• Developing inside a Container using Visual Studio Code Remote Development