You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
pypy can provide amazing speedups compared to regular python. On the other hand, it's incompatible with a lot of C-based packages (e.g. py_mini_racer, ujson and numpy/scipy/pandas (though hopefully I won't need any of those..)
So the question is: how big a bump can I get in performance from using pypy? The current scripts see limited gain. Is python execution even going to be the bottleneck? Will it actually run faster using pypy? Can I achieve similar gains using numba?
I should consider dropping the pypy req for now and then revisiting it after the system once the system in in an MVP state, where I can do profiling to answer these questions.
The text was updated successfully, but these errors were encountered:
pypy can provide amazing speedups compared to regular python. On the other hand, it's incompatible with a lot of C-based packages (e.g.
py_mini_racer
,ujson
andnumpy
/scipy
/pandas
(though hopefully I won't need any of those..)So the question is: how big a bump can I get in performance from using pypy? The current scripts see limited gain. Is python execution even going to be the bottleneck? Will it actually run faster using pypy? Can I achieve similar gains using numba?
I should consider dropping the pypy req for now and then revisiting it after the system once the system in in an MVP state, where I can do profiling to answer these questions.
The text was updated successfully, but these errors were encountered: