This is actually one of the most frustrating parts about using python. You can’t write normal python code that performs well. Instead you have to use the numpy dsl, which I often find unintuitive and too often results in me needing to consult stack overflow. This is very frustrating because I know how I want to solve the problem, but the limitations of the language prevent me from taking the path of least resistance and just writing nested loops.
my point is that the benchmark is deceiving, again if you are doing data analytics or ML, then you already are using numpy/pandas/scipy, so thats not a valid argument.
