I agree... Judged against the title, the article adds little value: take one micro-benchmark; implement the naive Python algorithm using non-CPython approaches

I agree... Judged against the title, the article adds little value: take one micro-benchmark; implement the naive Python algorithm using non-CPython approaches like Cython, Numpy and Numba; and stick on clickbait title that implies a speedup that applies in all cases. The article would be much better if it ditched the comparison to Julia and instead showcased "Some ways to make Python code faster."