Peter Otten wrote: > (Specifying dtype=float forces floating point arithmetic which is inexact)
I found a way to avoid the error: >>> import numpy as np >>> def sum2(N): ... a = np.arange(1, N+1, dtype=object) ... return (2*(1+3**(a-1))).sum() ... >>> sum2(50) 717897987691852588770348 As this operates on int objects rather than C/machine language numbers this will probably be significantly slower than dtype=int or dtype=float. _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
