The effort curve is exponential. Mypyc (2.4-14x) costs type annotations. PyPy/GraalPy (6-66x) costs a binary swap. Numba (56-135x) costs a decorator and data restructuring. JAX (12-1,633x) costs rewriting your code functionally. Cython (99-124x) costs days and C knowledge. Rust (113-154x) costs learning a new language.
Drive non-trivial correctness through types, so misuse becomes impossible rather than merely discouraged.
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