python-numpy: NumPy: Scientific computing with Python NumPy

NumPy is the fundamental package needed for scientific computing with Python.
It contains among other things:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* tools for integrating C/C++ and Fortran code
* useful linear algebra, Fourier transform, and random number capabilities.

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data.
Arbitrary data-types can be defined.
This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Name:	python-numpy
Release:	2.5.1-1mamba
Architecture:	i586
Group:	System/Libraries/Python
Size:	13.40 MB
Upstream URL:	https://numpy.org/
Source RPM:	python-numpy

Brothers	Provides	Obsoletes	Requires	Recommends
python-numpy-debug	python-numpy = 0:2.5.1-1mamba python-numpy(x86-32) = 0:2.5.1-1mamba python-numpy-py3 = 0:2.5.1-1mamba python3.14dist(numpy) = 0:2.5.1 python3dist(numpy) = 0:2.5.1	python-numeric <= 0:24.2-3mamba python-numeric-devel <= 0:24.2-3mamba python-numpy-devel < 0:1.26.0-2mamba python-numpy-py3 < 0:2.5.1-1mamba	/usr/bin/env [1] /usr/bin/python3 [1] ld-linux.so.2 [1] ld-linux.so.2(GLIBC_2.3) [1] libc.so.6(GLIBC_2.38) [1] libgcc_s.so.1 [1] [2] libgcc_s.so.1(GCC_3.0) [1] [2] libgcc_s.so.1(GCC_7.0.0) [1] [2] libgcc_s.so.1(GLIBC_2.0) [1] [2] libm.so.6 [1] libm.so.6(GLIBC_2.0) [1] libm.so.6(GLIBC_2.1) [1] libm.so.6(GLIBC_2.2) [1] libm.so.6(GLIBC_2.27) [1] libm.so.6(GLIBC_2.29) [1] libm.so.6(GLIBC_2.35) [1] libm.so.6(GLIBC_2.43) [1] libopenblas.so.0 [1] libstdc++.so.6 [1] libstdc++.so.6(CXXABI_1.3) [1] libstdc++.so.6(CXXABI_1.3.9) [1] libstdc++.so.6(GLIBCXX_3.4) [1] libstdc++.so.6(GLIBCXX_3.4.14) [1] libstdc++.so.6(GLIBCXX_3.4.18) [1] libstdc++.so.6(GLIBCXX_3.4.21) [1] libstdc++.so.6(GLIBCXX_3.4.29) [1] python(abi) = 0:3.14 [1] [2] rtld(GNU_HASH) [1]

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