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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0001-BUG-Fix-test_impossible_feature_enable-failin |
0000002598 2.54 KB | |
0001-feature-module-Fix-handling-of-multiple-confl |
0000002243 2.19 KB | |
_constraints | 0000000182 182 Bytes | |
_multibuild | 0000000056 56 Bytes | |
fix-meson-multiple-python-versions.patch | 0000002152 2.1 KB | |
numpy-1.26.4.tar.gz | 0015786129 15.1 MB | |
numpy-1.9.0-remove-__declspec.patch | 0000001152 1.13 KB | |
numpy-buildfix.patch | 0000001025 1 KB | |
python-numpy-rpmlintrc | 0000000531 531 Bytes | |
python-numpy.changes | 0000154493 151 KB | |
python-numpy.spec | 0000013873 13.5 KB |
Latest Revision
Stephan Kulow (coolo)
committed
(revision 2)
Comments 1
note: python-numpy differed in /usr/lib64/python3.8/site-packages/numpy/distutils/fcompiler/pycache /vast.cpython-38.pyc - possibly because .pyc files vary from ordering