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numpy.info | ||
numpy.SlackBuild | ||
README | ||
slack-desc |
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.