You won't have to sit and do any of this manually once my production grade python application generator goes live. At the moment it works with poetry and i am working on a uv version of it. Let me explain what the poetry one does

- Setup a docker container - Install python 3.x (specified by you) - Install poetry x.y (specified by you) - Setup README - Setup gitignore - Install black, isort, flake8, tox, pre-commit, mypy, commitizen, darglint, xdoctest, pytest with src and tests directory with a lot of inputs from you with pinned dependencies - Add nginx / caddy / traefik with Github Actions CI / CD and templates for pull requests, issues, feature requests, questions etc - Verify everything works by running all commands in docker - Give you a downloadable version of this production grade python application - As dependencies update, this whole pipeline updates immediately