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()'
When installing a new version of numpy for the first time or before upgrading
to a newer version, it is recommended to turn on deprecation warnings when
running the tests:
python -Wd -c 'import numpy; numpy.test()'
The most current development version is always available from our
git repository:
http://github.com/numpy/numpy