Dunno, almost all of the people I know anywhere in the ML space are on the C and Rust end of the spectrum.

Lack of types, lack of static analysis, lack of ... well, lack of everything Python doesn't provide and fights users on costs too much developer time. It is a net negative to continue pouring time and money into anything Python-based.

The sole exclusion I've seen to my social circle is those working at companies that don't directly do ML, but provide drivers/hardware/supporting software to ML people in academia, and have to try to fix their cursed shit for them.

Also, fwiw, there is no reason why Triton is Python. I dislike Triton for a lot of reasons, but its just a matmul kernel DSL, there is nothing inherent in it that has to be, or benefits from, being Python.... it takes DSL in, outputs shader text out, then has the vendor's API run it (ie, CUDA, ROCm, etc). It, too, would benefit from becoming Rust.

I love Rust and C, I write quite a bit of both. I am an ML engineer by trade.

To say most ML people are using Rust and C couldn’t be further from the truth

> It, too, would benefit from becoming Rust.

Yet it was created for Python. Someone took that effort and did it. No one took that effort in Rust. End of the story of crab's superiority.

Python community is constantly creating new, great, highly usable packages that become de facto industry standards, and maintain old ones for years, creating tutorials, trainings and docs. Commercial vendors ship Python APIs to their proprietary solutions. Whereas Rust community is going through forums and social media telling them that they should use Rust instead, or that they "cheated" because those libraries are really C/C++ libraries (and BTW those should be done in Rust as well, because safety).

> Dunno, almost all of the people I know anywhere in the ML space are on the C and Rust end of the spectrum.

I wish this were broadly true.

But there's too much legacy Python sunk cost for most people though. Just so much inertia behind Python for people to abandon it and try to rebuild an extensive history of ML tooling.

I think ML will fade away from Python eventually but right now it's still everywhere.

Okay. Humor me. I want to write a transformer-based classifier for a project. I am accustomed to the pytorch and tensorflow libraries. What is the equivalent using C?