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Aleksandar Samardzic f51716089e development/numpy: Added to 12.0 repository
2010-05-11 20:00:27 +02:00
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numpy.info development/numpy: Added to 12.0 repository 2010-05-11 20:00:27 +02:00
numpy.SlackBuild development/numpy: Added to 12.0 repository 2010-05-11 20:00:27 +02:00
README development/numpy: Added to 12.0 repository 2010-05-11 20:00:27 +02:00
slack-desc development/numpy: Added to 12.0 repository 2010-05-11 20:00:27 +02:00

README 

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.