4 ms·

So many python speed apologists. Yes, you can pour over your python code and given enough time and effort you can eek out another 25% improvement, but it's stil

So many python speed apologists. Yes, you can pour over your python code and given enough time and effort you can eek out another 25% improvement, but it's still much slower than the alternatives.

adenozine 5y ago
Python gets WAY too much work done in WAY too many fields to just handwave away "waaah, it's faster to use blah-lang"
PartiallyTyped 5y ago
Counter argument, how many times does one need to do data processing and what's the most expensive process in the equation? The answer for the latter is programmer time, and some things can be scaled easily using `joblib`, or `dask`. Now, it isn't as trivial as importing parallel iterators with rust and changing `.into_iter` to `.into_par_iter`, but still needs less time, and once it is done, I don't need to think about it again.