NumPy is the fundamental package needed for scientific computing with Python. This package contains:

* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* tools for integrating C/C++ and Fortran code
* useful linear algebra, Fourier transform, and random number capabilities. 

It derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by numarray and can be used to replace numarray.

More information can be found at the website:

http://scipy.org/NumPy

After installation, tests can be run with:

python -c 'import numpy; numpy.test()'

The most current development version is always available from our subversion repository:

http://svn.scipy.org/svn/numpy/trunk