[SciPy-user] numarray interface and performance issues (for dot product and transpose)
oliphant at ee.byu.edu
Thu Feb 28 14:35:31 CST 2002
> should go fast. The NumPy guys *might* go for requireing ATLAS, but I find that
> highly unlikely because it is such a bear to build on some platforms and takes
> so long on all platforms. One of the beauties of NumPy is that it is self
> SciPy has already bitten the bullet as far as considering ATLAS as part of the
> core requirements, so it comes as no extra effort. We should just add the ATLAS
> code patch to SciPy's linalg module and then import those functions into the
> main namespace.
I agree. I would much rather do this then change Numeric.
One thing MATLAB users find different is that Numeric arrays are arrays
not matrices. A separate subclass of arrays can be considered a matrix.
More information about the SciPy-user