1NumPy is the fundamental package for scientific computing with Python. It
2contains among other things:
3- a powerful N-dimensional array object
4- sophisticated (broadcasting) functions
5- tools for integrating C/C++ and Fortran code
6- useful linear algebra, Fourier transform, and random number capabilities
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8Besides its obvious scientific uses, NumPy can also be used as an efficient
9multi-dimensional container of generic data. Arbitrary data-types can be
10defined. This allows NumPy to seamlessly and speedily integrate with a wide
11variety of databases.
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