[SciPy-user] numarray interface and performance issues (for dot product and transpose)

Travis Oliphant 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
> contained.
> 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.


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