[Numpy-discussion] python's random.random() faster than numpy.random.rand() ???
Mark P. Miller
mpmusu at cc.usu.edu
Fri Jan 26 11:17:58 CST 2007
Greetings:
I've recently been working with numpy's random number generators and
noticed that python's core random number generator is faster than
numpy's for the uniform distribution.
In other words,
for a in range(1000000):
b = random.random() #core python code
is substantially faster than
for a in range(1000000):
b = numpy.random.rand() #numpy code
For other distributions that I've worked with, numpy's random number
generators are much faster than the core python generators.
Any thoughts? Just wanted to mention it to you. Or should I be using
some other approach to call numpy's uniform generator?
-Mark
--
Dr. Mark P. Miller
Department of Biology
5305 Old Main Hill
Utah State University
Logan, UT 84322-5305 USA
><><><><><><><><><><><><><><><><
http://www.biology.usu.edu/people/facultyinfo.asp?username=mpmbio
http://www.marksgeneticsoftware.net
More information about the Numpy-discussion
mailing list