dev-python/numpy – Gentoo Packages

Version	amd64	x86	alpha	arm	arm64	hppa	ia64	ppc	ppc64	riscv	sparc
1.23.3 : 0	~amd64	~x86	~alpha	~arm	~arm64	~hppa	~ia64	~ppc	~ppc64	~riscv	~sparc
1.23.2 : 0	~amd64	~x86	~alpha	~arm	~arm64	~hppa	~ia64	~ppc	~ppc64	~riscv	~sparc
1.23.1 : 0	amd64	x86	~alpha	arm	arm64	hppa	~ia64	ppc	ppc64	~riscv	~sparc
1.23.0 : 0	~amd64	~x86	~alpha	~arm	~arm64	~hppa	~ia64	~ppc	~ppc64	~riscv	~sparc
1.22.4 : 0	amd64	x86	~alpha	arm	arm64	hppa	~ia64	ppc	ppc64	~riscv	~sparc
1.22.3 : 0	amd64	x86	~alpha	arm	arm64	hppa	~ia64	ppc	ppc64	~riscv	~sparc
1.22.2 : 0	amd64	x86	~alpha	~arm	arm64	hppa	~ia64	ppc	ppc64	~riscv	~sparc
1.22.1 : 0	~amd64	~x86	~alpha	~arm	~arm64	~hppa	~ia64	~ppc	~ppc64	~riscv	~sparc
1.22.0-r1 : 0	~amd64	~x86	~alpha	~arm	~arm64	~hppa	~ia64	~ppc	~ppc64	~riscv	~sparc
1.21.5 : 0	amd64	x86	~alpha	arm	arm64	hppa	~ia64	ppc	ppc64	~riscv	sparc

Upstream

Remote-Id	https://github.com/numpy/numpy
	https://pypi.org/project/numpy/

Full description

NumPy is a general-purpose array-processing Python package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. It is the successor of Numeric and numarray.
USE flags
Global Use Flags
- doc
- lapack
- test
python_targets (Use Expand)
License

BSD
Maintainer(s)

Gentoo Science Project , Python

CI Report (verbose)

Repology

Git log (short)

dev-python/ numpy