On Sat, Dec 19, 2009 at 4:53 AM, Chris Colbert <sccolb...@gmail.com> wrote:
> > > On Sat, Dec 19, 2009 at 6:43 AM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Fri, Dec 18, 2009 at 10:20 PM, Wayne Watson < >> sierra_mtnv...@sbcglobal.net> wrote: >> >>> This program gives me the message following it: >>> ================Program========== >>> import numpy as np >>> from numpy import matrix >>> import math >>> >>> >> You don't want math. >> > > > Why do you say that? The builtins are MUCH faster than numpy for single > values: > > In [1]: import math > > In [2]: import numpy as np > > In [3]: %timeit np.sin(1.57) > 100000 loops, best of 3: 2.41 us per loop > > In [4]: %timeit math.sin(1.57) > 10000000 loops, best of 3: 165 ns per loop > > In [6]: %timeit np.array([np.sin(1.57)]) > 100000 loops, best of 3: 11.5 us per loop > > In [7]: %timeit np.array([math.sin(1.57)]) > 100000 loops, best of 3: 7.01 us per loop > > > Fair point. I was thinking of the vector case down the road. Chuck
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