numpy is only fast if the computation does not escape it. There are plenty of cases where execution ping-pongs (if that's a verb) between python and the C(++) wrapper numpy actually is. Then everything becomes quite slow.
Anyway, I see data scientists and statisticians (at least 100% of the ones I know) completely ignoring Julia, just because they only have been exposed to Python and R in their education. The quality of the programming language/ecosystem seems to be irrelevant.
Anyway, I see data scientists and statisticians (at least 100% of the ones I know) completely ignoring Julia, just because they only have been exposed to Python and R in their education. The quality of the programming language/ecosystem seems to be irrelevant.