STINNER Victor added the comment: "In a numerics heavy application it's like that all fast paths will trigger somewhere, but those will likely be better off using numpy or numba. For a text heavy application such as a web server, only few fast paths will trigger and so the various checks only add overhead."
Hum, I disagree. See benchmark results in other messages. Examples: ### django_v2 ### Min: 2.682884 -> 2.633110: 1.02x faster ### unpickle_list ### Min: 1.333952 -> 1.212805: 1.10x faster These benchmarks are not written for numeric, but are more "general" benchmarks. int is just a core feature of Python, simply used everywhere, as the str type. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue21955> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
