[setzer22]

I stand corrected. I did not know numba and assumed it was similar to numpy and others, which do wrap C.

I still stand by my comment, though. We need to discuss technology by its own merits. Of course I'd also choose Python for an ML project any time of the day! But that's because Python won the popularity contest a long time ago. When discussing technology I think it's worth trying to see past that.

Exposing a C FFI may be flexible in the ways you mention (i.e. You can call the function from many languages). But I think we miss a lot on explorability. Let me elaborate a bit more with an example: Most people is not reallistically able to drill down on some implementation details when using neural network libraries like TensorFlow (which is not the whole field of AI, just an example!). At some point, if a feature is missing, you have to leave Python, learn a new language, and get a whole dev environment setup started. At that point, you're not using Python anymore, so I don't think it should count as a Python merit that you can do it.

That being said, I don't know Nim enough to validate whether using it for this would be a good idea.