PyCon 2024 showcased a number of ways to speed the pokey Python programming language including sub-interpreters, immortal objects, just-in-time compilation and more.
You can also use numba if you just need to accelerate one part of the app. We did that with a heavy part of the app and our naïve Python (using numpy) was about as fast as our naïve Rust, but only when wr turned on parallel processing in numba (I could’ve easily beat it with parallel Rust, but that requires extra work and wouldn’t fit as nicely into the rest of the app).
Yup, Cython rocks.
You can also use numba if you just need to accelerate one part of the app. We did that with a heavy part of the app and our naïve Python (using numpy) was about as fast as our naïve Rust, but only when wr turned on parallel processing in numba (I could’ve easily beat it with parallel Rust, but that requires extra work and wouldn’t fit as nicely into the rest of the app).