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NumPy is the fundamental package for scientific computing with Python. It contains among other things:
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
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 speedily integrate with a wide variety of databases.
The tutorial is here.
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