The fundamental package needed for scientific computing with Python is
called NumPy. This package contains:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* basic linear algebra functions
* basic Fourier transforms
* sophisticated random number capabilities
* tools for integrating Fortran code.
Besides its obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and
quickly integrate with a wide-variety of databases.
Approved by: rworkman
Maintained by: Aleksandar B. Samardzic
Homepage:
http://numpy.scipy.org/
Download Source:
numpy-1.0.4.tar.gz
Source MD5SUM:
8f011e9d7697da570efaac61c51725e0
Download SlackBuild:
numpy.tar.gz
numpy.tar.gz.asc (what is this?)
(the SlackBuild does not include the source)
| Individual Files: |
| • README |
| • numpy.SlackBuild |
| • numpy.info |
| • slack-desc |
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