As an experienced python/data science user, this (creating fast complex column-wise transforms) is rarely a problem for me.

The truly huge advantage for Julia is how it plays with parralelism. The GIL makes it an absolute pain to do parallelism in python. Always ends up in threading hacks with numba or joblib, or multiprocessing, which has its own unfixable flaws