Packages managed with pip and versions pinned with pipcompile. One ML production environment forces us to use conda we inherit from the pip environment and try to have as much done by pip as possible.

Formatted with black and flake8

Unit tests with unittest

Azure Dev Ops for running tests, security screening, and CI

The happy path for deployment is build docker images in AzureDevOps unfortunately we can’t do that for good reasons

I’m not a fan of typed Python, it doesn’t work as smoothly as you expect if you’re coming from a statically typed language.

Be careful enforcing pylint quality. It can be a great way to kill your teams velocity.

I’m describing a boring stack that works. All of these tools are 5+ years old and very well supported.