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Agree! But isn’t it kind of weird that we accept that ml happens only in python? I’m biased because I’m working on a startup that makes machine learning sdks in ruby, elixir, golang, php, JavaScript etc. Also, to clarify what you are saying, you think companies are choosing to write their entire stack in python just because ml tools are in python?

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> you think companies are choosing to write their entire stack in python just because ml tools are in python?

Going with the masses (e.g Java/Node/Python) is the easy thing to do. It feels "safe". But who knows where Python/Node will be 10 years from now, people are restless and will come up with new things (Deno?) and it could be they will start declining. Java is pretty much unavoidable though.

Eh I’ve been down this road and the tooling in python is just so evolved it’s hard to replicate. Julia is having a hard enough time, I see ML libraries pop up in other languages and they usually simmer out or are used by hobbyists.

As an ML engineer it’s really hard to justify spending your time in a language you will be handicapped by instead of just using python

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