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.
- Developed at devel:languages:python:numeric
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Source Files
Filename | Size | Changed |
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_constraints | 0000000182 182 Bytes | |
_multibuild | 0000000056 56 Bytes | |
numpy-2.1.3.tar.gz | 0020166090 19.2 MB | |
numpy-buildfix.patch | 0000001025 1 KB | |
python-numpy-rpmlintrc | 0000000532 532 Bytes | |
python-numpy.changes | 0000166592 163 KB | |
python-numpy.spec | 0000013902 13.6 KB |
Latest Revision
Ana Guerrero (anag+factory)
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Benjamin Greiner (bnavigator)
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