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I worked with large-ish Python codebases focused on “full-stack ML“ (data pipelines ending with trained models and APIs for using these models). Some of my coll

by untech 4y ago

I worked with large-ish Python codebases focused on “full-stack ML“ (data pipelines ending with trained models and APIs for using these models). Some of my colleagues relied on PyCharm for refactoring. I preferred to use cli tools (vim + tmux, ripgrep) and ran a linter from time to time. Ideally, we should’ve integrated the linter with CI, but it was in a deep backlog. Pycharm seems to be great with all kinds of refactoring.

eddsh1994 4y ago
> Ideally, we should’ve integrated the linter with CI, but it was in a deep backlog. This is a P0 for me in a Python project, crazy to backlog something so useful. You can even turn it on for only errors so it's a little quieter, then gradually address < Errors over time.