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by xapata 1173 days ago
To some degree, it's about familiarity with your tools. And different tools are optimized for different tasks.

Besides, aren't you deploying Docker containers, anyway?

1 comments

I do, absolutely. But it seems like an exceptionally rare practice for most Python code, at least in the ML space, which puts me back at the start.
Many ML practitioners aren't software engineers. I don't expect that cohort (non-engineers) would manage a deployment well in any language.