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12.0 > Development > numpy (1.0.4)

The fundamental package needed for scientific computing with Python is
called NumPy.  This package contains:
    * a powerful N-dimensional array object
    * sophisticated (broadcasting) functions
    * basic linear algebra functions
    * basic Fourier transforms
    * sophisticated random number capabilities
    * tools for integrating Fortran code.

Besides its obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data.  Arbitrary
data-types can be defined.  This allows NumPy to seamlessly and
quickly integrate with a wide-variety of databases.

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