STINNER Victor added the comment: "Just for fun, here's a recipe for a correctly-rounded nth root operation for positive finite floats. I'm not suggesting using this in the business logic: it's likely way too slow (especially for large n), but it may have a use in the tests."
I don't know well the statistics module, but it looks like it doesn't use directly floats, more a somehow higher level type of numbers to try to reduce rounding errors. For me, the math module is a thin wrapper on C library math functions, except of a few functions specific to Python like math.factorial. But the statistics module is at a higher level. Maybe we should draw a line between accuracy and speed. For example, explain in the statistics module that the module is designed for accuracy? Sorry if I completly misunderstood the design of the statistics module :-) ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue27761> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
