<[EMAIL PROTECTED]> wrote:
> hello,
>
> I found that scipy only works with python 2.3 or?
You can use Numeric instead of scipy if you need/want to:
from Numeric import arange,reshape,sin
def computeMatrix(n):
xcoor = arange(0,1,1/float(n))
ycoor = reshape(xcoor, (n,1))
return sin(xcoor*ycoor) + 8*xcoor
Note that arange() does not include the endpoint, i.e.
arange(0,1,0.25).tolist() ==[0.0, 0.25, 0.5,
0.75].
> I don't know if the logic is correct:
> 1. loop inside loop uses a lot of resources
> 2. Numeric or Numpy can make program faster
> 3. It use kind of Array/Matrix analysis style
> 4. We have to change our algorithms so that Numeric or Numpy can help
> us, Matrix style
That's correct more or less.
George
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