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.
Source Files
Filename | Size | Changed | Actions |
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numpy-1.9.0-remove-__declspec.patch | 00000010111011 Bytes | 1410824341over 9 years ago | |
numpy-1.9.0.tar.gz | 00039688983.79 MB | 1410824298over 9 years ago | |
numpy-buildfix.patch | 0000000649649 Bytes | 1410824349over 9 years ago | |
python3-numpy.changes | 000001181311.5 KB | 1414931899over 9 years ago | |
python3-numpy.spec | 00000033953.32 KB | 1415052668over 9 years ago |