Some interesting tidbits on python code and compilation performance 1) During AoC I mostly used cpython and numpy. One day my code was running too slow so I fi

Some interesting tidbits on python code and compilation performance 1) During AoC I mostly used cpython and numpy. One day my code was running too slow so I fired up pypy. It ran even slower. Turns out numpy and pypy do not play well together in terms of performance. 2) I use matlab in work, and had some code that was slower than I liked, despite efforts to profile and optimise. I used the coder tool to compile it to C and got a 32x speedup. I was surprised, as matlab has a jit, so didn't expect a 32x performance delta, but there it is.