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 | 1410274426over 3 years ago | ![]() |
numpy-1.9.3.tar.gz | 00039844303.8 MB | 1442993415over 2 years ago | ![]() |
numpy-buildfix.patch | 0000000649649 Bytes | 1410171161over 3 years ago | ![]() |
python-numpy-doc.changes | 00000047944.68 KB | 1410274468over 3 years ago | ![]() |
python-numpy-doc.spec | 00000050524.93 KB | 1458986321about 2 years ago | ![]() |
python-numpy.changes | 000001259812.3 KB | 1459287683about 2 years ago | ![]() |
python-numpy.spec | 00000051465.03 KB | 1459287683about 2 years ago | ![]() |
system_cblas.patch | 00000012571.23 KB | 1459287684about 2 years ago | ![]() |