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| author | Pascal Bellard <pascal.bellard@slitaz.org> |
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| date | Thu Sep 01 11:12:31 2022 +0000 (21 months ago) |
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1 It provides:
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
7 - and much more
9 Besides its obvious scientific uses, NumPy can also be used as an efficient
10 multi-dimensional container of generic data.
11 Arbitrary data-types can be defined. This allows NumPy to seamlessly and
12 speedily integrate with a wide variety of databases.