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://www.numpy.orgAfter installation, tests can be run with:python -c 'import numpy; numpy.test()'The most current development version is always available from ourgit repository:http://github.com/numpy/numpy