On Wed, Aug 25, 2010 at 10:59 PM, Carlos Grohmann <carlos.grohm...@gmail.com> wrote: > Hi all, > > I'd like to hear from you on the benefits of using numpy.power(x,y) > over (x*x*x*x..)
Without more context, I would say None if x*x*x*x*... works and you are not already using numpy. The point of numpy is mostly to work on numpy arrays, and to support types of data not "natively" supported by python (single, extended precision). If x is a python object such as int or float, numpy will also be much slower. Using numpy would make sense if for example you are already using numpy everywhere else, for consistency reason, David -- http://mail.python.org/mailman/listinfo/python-list
