NumPy: array processing for numbers, strings, records and objects
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.
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Source Files
Filename | Size | Changed |
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_multibuild | 0000000057 57 Bytes | over 3 years |
numpy-1.14.5.zip | 0004904624 4.68 MB | over 2 years |
numpy-1.9.0-remove-__declspec.patch | 0000000959 959 Bytes | over 3 years |
numpy-buildfix.patch | 0000000649 649 Bytes | over 3 years |
python-numpy.changes | 0000034170 33.4 KB | over 2 years |
python-numpy.spec | 0000008597 8.4 KB | over 2 years |
riscv.patch | 0000000742 742 Bytes | almost 3 years |
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