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
- Sources inherited from project openSUSE:Factory
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Source Files
Filename | Size | Changed |
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_constraints | 0000000182 182 Bytes | |
_multibuild | 0000000056 56 Bytes | |
fix-py34-tests.patch | 0000000789 789 Bytes | |
numpy-1.16.2.zip | 0005072757 4.84 MB | |
numpy-1.9.0-remove-__declspec.patch | 0000001001 1001 Bytes | |
numpy-buildfix.patch | 0000000649 649 Bytes | |
python-numpy-rpmlintrc | 0000000167 167 Bytes | |
python-numpy.changes | 0000037353 36.5 KB | |
python-numpy.spec | 0000009552 9.33 KB | |
riscv.patch | 0000000768 768 Bytes |
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