On Sat, 24 Sep 2011 08:13:11 -0700, Guido van Rossum wrote: > I expect that to implement a version worthy of the stdlib math module, > i.e. that computes values that are correct within 0.5ULP under all > circumstances (e.g. lots of steps, or an end point close to the end of > the floating point range) we'd need a numerical wizard like Mark > Dickinson or Tim Peters (retired). Or maybe we could just borrow numpy's > code.
+1 to using the numpy api, having continuity of API between the two would be great (people work interactively with 'from numpy import *', so having the linspace() call continue to work identically would be a bonus). License-wise there shouldn't be major issues in using the numpy code, as numpy is all BSD. Hopefully if there are any, the numpy community can help out. And now that Mark Dickinson is at Enthought (http:// enthought.com/company/developers.php) where Travis Oliphant --numpy author-- works, I'm sure the process of ironing out any implementation/api quirks could be handled easily. Cheers, f _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
