I don't want to have to run a simple Python program in a container for quick and simple development or testing. That's a failure of engineering discipline. By all means, do provide a Docker container and do use containers for actual deployments, but also make it easy for me to just use, say, pip-tools or whatever else your organization has standardized on for Python. If we're talking about something with complex C or C++ dependencies that's quite different. If it's just a few pip dependencies and there's no way for me to just run it reliably outside of a container, though, that's a result of not following best practices.