dev-python/numpy

Fundamental package for array computing in Python.

Versions

Slot	Version	Repository	Platforms
0	2.3.4	python	~amd64	arm?	~armv7	~armv8	~x86
	2.2.6	python	~amd64	arm?	~armv7	~armv8	~x86
	1.26.4	python	~amd64	arm?	~armv7	~armv8	~x86
	1.25.2	python	~amd64	arm?	~armv7	~armv8	~x86
	1.24.3	python	~amd64	arm?	~armv7	~armv8	~x86
	1.21.6	python	~amd64	arm?	~armv7	~armv8	~x86
	1.16.4-r1	python	~amd64	arm?	armv7?	~armv8	~x86

Homepage	( https://pypi.org/project/numpy/ https://numpy.org )
Summary	Fundamental package for array computing in Python
Description	NumPy is the fundamental package needed for scientific computing with Python. It contains: * a powerful N-dimensional array object * sophisticated broadcasting functions * basic linear algebra functions * basic Fourier transforms * sophisticated random number capabilities * tools for integrating Fortran code * tools for integrating C/C++ code 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.
Upstream documentation	https://numpy.org/doc/2.3/
Dependencies	( ( build+run: python_abis:3.11? ( dev-lang/python:3.11 ) python_abis:3.12? ( dev-lang/python:3.12 ) python_abis:3.13? ( dev-lang/python:3.13 ) ) ( build: dev-python/gpep517[>=18][python_abis:(-)?] build: dev-python/meson-python[>=0.15.0][python_abis:(-)?] test: dev-python/pytest[python_abis:(-)?] ) ( build: dev-python/Cython[>=3.0.6][python_abis:(-)?] build+run: sys-libs/libgfortran:= virtual/blas virtual/lapack test: dev-python/hypothesis[>=5.3.0][python_abis:(-)?] dev-python/pytest-timeout[python_abis:(-)?] ) )
Downloads	https://files.pythonhosted.org/packages/source/n/numpy/numpy-2.3.4.tar.gz
Licences	BSD-3