| 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 |
| |
| |
