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