[FridgeSeal]

> but the Python ecosystem progressed a lot in the past 2 years, now you have Numba JIT, Jax JIT, PyTorch JIT, XLA JIT and many other proprietary JITs that are not open-sourced.

Python has a bunch of specific use-case, non-interoperable limited JIT’s that you have to learn separately.

Not the case with Julia: you write some arbitrary code, it gets optimised, so much simpler. The Julia community did some cool things with Flux where complex and field-specific equations were dropped wholesale into neural-network definitions without having to rewrite anything. That sort of power is invaluable.