Bootstrapping Local Python Environments

I think the key bit there is keeping the dev and the deploy looking similar, looking the same. We've always strived for like our QA or staging environments to be identical or as close as possible to production. It seems to be a lot more reliable and repeatable to do those deployments. Even for small scripts, we still use Docker locally to run a single Python script because you can guarantee the version of Python that's going to run on a guaranteed user space inside that container. So even now... And this is one of the things I got to at the end of my talk at Python last year was that Docker was really the way forward,. especially developers who are across a heterogeneous