On Mon, 17 Sep 2018 17:23:26 -0700 Carl Shapiro <carl.shap...@gmail.com> wrote: > > > To give an idea, on my machine the baseline Python startup is about 20ms > > (`time python -c pass`), but if I import Numpy it grows to 100ms, and > > with Pandas it's more than 200ms. Saving 4ms on the baseline startup > > would make no practical difference for concrete usage. > > > > Do you have a feeling for how many of those milliseconds are spend loading > bytecode from disk?
No idea. In my previous experiments with module import speed, I concluded that executing module bytecode generally was the dominating contributor, but that doesn't mean loading bytecode is costless. Regards Antoine. _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
