I need help turning a Python project that lives on a private GitHub repository into a clean, repeatable deployment. Docker is not yet installed, so the first step will be to set up the Docker engine (and Compose if required) in a way that plays nicely with future OS updates and security patches. Once Docker is ready, I’d like a straightforward workflow: • A Dockerfile (or docker-compose.yml if multi-service) that installs my project’s dependencies and exposes the correct ports • A small shell script or GitHub Action that pulls the latest commit, builds the image, and restarts the container with zero-to-minimal downtime • Environment variable management that keeps secrets out of the repo but easy to update on the server • A README or brief deployment notes so I can reproduce the build on another machine without guesswork Success means I can run one command (or trigger a GitHub push) and see the updated container running on the Linux box. Let me know what access you’ll need and any questions about the project structure.