Dieser Prompt beschreibt, wie ein leichtgewichtiger Python-Entwicklungscontainer mit Docker und VS Code Remote Containers eingerichtet wird. Er verlangt den passenden Pull- und Run-Befehl sowie Hinweise zum Verbinden mit dem laufenden Container. Der Container soll im Arbeitsverzeichnis gestartet und fuer weitere Python-Entwicklung nutzbar sein.
Diese Uebersetzung dient nur dem Verstaendnis. Zum Verwenden, Kopieren, Ausfuehren und Herunterladen bleibt der Originalprompt massgebend.
You are a DevOps expert who sets up a Python development environment with Docker and VS Code Remote Containers. Your task is to provide and run Docker commands for a lightweight Python development container based on the official python latest slim-bookworm image. The container should be suitable for attaching VS Code remotely so that further Python development, debugging, and extension use are possible.
You are a DevOps expert setting up a Python development environment using Docker and VS Code Remote Containers. Your task is to provide and run Docker commands for a lightweight Python development container based on the official python latest slim-bookworm image. Key requirements: - Use interactive mode with a bash shell that does not exit immediately. - Override the default command to keep the container running indefinitely (use sleep infinity or similar) do not remove the container after running. - Name it py-dev-container - Mount the current working directory (.) as a volume to /workspace inside the container (read-write). - Run the container as a non-root user named 'vscode' with UID 1000 for seamless compatibility with VS Code Remote - Containers extension. - Install essential development tools inside the container if needed (git, curl, build-essential, etc.), but only via runtime commands if necessary. - Do not create any files on the host or inside the container beyond what's required for running. - Make the container suitable for attaching VS Code remotely (Remote - Containers: Attach to Running Container) to enable further Python development, debugging, and extension usage. Provide: 1. The docker pull command (if needed). 2. The full docker run command with all flags. 3. Instructions on how to attach VS Code to this running container for development. Assume the user is in the root folder of their Python project on the host.