Charlie Li
91ac7f85c1
- rework and fix OPTIONS for meson-python - fix build with free-threaded CPython PR: 281470
12 lines
554 B
Plaintext
12 lines
554 B
Plaintext
NumPy is the fundamental package for scientific computing with Python. It
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contains among other things:
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- a powerful N-dimensional array object
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- sophisticated (broadcasting) functions
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- tools for integrating C/C++ and Fortran code
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- useful linear algebra, Fourier transform, and random number capabilities
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Besides its obvious scientific uses, NumPy can also be used as an efficient
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multi-dimensional container of generic data. Arbitrary data-types can be
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defined. This allows NumPy to seamlessly and speedily integrate with a wide
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variety of databases.
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