Speed of Python

[wang frank]

I am just trying to compare the speed with matlab. The arrange is used for 
another test, that is why it shows up in the mail.

Thanks

Frank


>From: "Marc 'BlackJack' Rintsch" <bj_666 at gmx.net>
>To: python-list at python.org
>Subject: Re: Speed of Python
>Date: 7 Sep 2007 23:17:55 GMT
>
>On Fri, 07 Sep 2007 22:59:26 +0000, wang frank wrote:
>
> > I also have tried to use numpy to speed it up. However, surprisingly, 
it is
> > slower than the pure python code.
> >
> > Here is the code:
> > import  numpy
> > arange=numpy.arange
> > nlog=numpy.log
> > def bench6(n):
> > 	for i in xrange(n):
> > 		for j in xrange(1000):
> > 			m=j+1
> > 			z=nlog(m)
> > 			z1=nlog(m+1)
> > 			z2=nlog(m+2)
> > 			z3=nlog(m+3)
> > 			z4=nlog(m+4)
> > 			z5=nlog(m+5)
> > 			z6=nlog(m+6)
> > 			z7=nlog(m+7)
> > 			z8=nlog(m+8)
> > 			z9=nlog(m+9)
> > 	return z9
> >
> > [窶ヲ]
> >
> > Anyone know why?
>
>Because you don't really take advantage of `numpy`.  The `numpy.log()`
>function can be used with scalars but I guess it is slower because it has
>to check if its argument is a scalar or array.  Untested:
>
>from numpy import arange, log as nlog
>
>def bench6(n):
>     for dummy in xrange(n):
>         for j in xrange(1000):
>             z = nlog(arange(j + 1, j + 11))
>     return z[-1]
>--
>http://mail.python.org/mailman/listinfo/python-list

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