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12.2 > Development > numpy (1.3.0)

NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays.  NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
        
There are also basic facilities for discrete fourier transform, basic
linear algebra and random number generation.

Maintained by: Aleksandar Samardzic
Keywords: Python,scientific computing,array,matrix,mathematical functions,Fortran wrapper,academic,math
ChangeLog: numpy