Running a Dockerized Django Project without a Virtual Environment: What’s the Deal?

I get your confusion! Instead of worrying about venv inside Docker, it'd be easier to set up a local virtual environment and install your packages there. This way, your editor catches everything right away, giving you auto-completion and reducing errors. You can build the Docker image after that and run the application. If you're worried about syncing files, use bind mounts to link your local project to the container, and you'll get hot reloading when you make changes.

When you're running code in a Docker container, the necessary Python libraries are already included via the requirements.txt. The code runs in its own environment separate from your local machine. Ideally, it’s best to use a virtual environment locally with venv or pipx, but it’s not needed inside Docker. If you want to interact with the container, using `docker exec` is an option, but it might not reflect your usual development flow, so consider whether it’s necessary.

Your Docker container really acts like a virtual environment on its own. Using venv inside the container is kind of unnecessary, you know? Just treat your Docker setup as the isolated space for running your app.

Honestly, using a virtual environment locally helps with development since it recognizes the libraries. You don’t need a venv for Docker; just install the required packages and go. This way, you’ll avoid warnings in your editor.