![]() This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. ![]() ![]() 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. Manual: Reference: NumPy is the fundamental package for scientific computing with Python. ![]()
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