Yury Selivanov <yseliva...@gmail.com> added the comment:
> Do we have good intuition or data about which operations need speeding up > most? Everybody always assumes it's BINARY_ADD, but much Python code isn't > actually numeric, and binary operations aren't all that common. IMO, we shouldn't focus too much on optimizing binops. Regular webapps/network kind of code wouldn't benefit from that, and scientific code that uses numpy/ml libraries already offsets most of expensive computation to outside of CPython eval. Instead, I think, we should continue focusing on lowering the cost of function/method calls and attribute access. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue42115> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
