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Information for python:numpy

Versions

  • 9999
  • scm
  • 1.19.2 (16)
  • 1.19.1 (11)
  • 1.19.1.0.py38hfa32c7d.0
  • 1.19.0 (3)
  • 1.18.5
  • 1.18.4 (3)
  • 1.18.3
  • 1.18.2
  • 1.18.1 (3)
  • 1.17.4 (5)
  • 1.17.3 (2)
  • 1.17.2 (2)
  • 1.17.0
  • 1.17.0_rc1
  • 1.16.6 (9)
  • 1.16.5 (10)
  • 1.16.4 (5)
  • 1.16.3 (4)
  • 1.16.2 (3)
  • 1.16.1 (3)
  • 1.15.4 (4)
  • 1.15.1 (2)
  • 1.14.5 (2)
  • 1.14.3 (4)
  • 1.14.2 (3)
  • 1.14.1
  • 1.14.0
  • 1.13.3 (4)
  • 1.12.1 (3)
  • 1.11.2
  • 1.11.0 (2)
  • 1.10.4 (4)
  • 1.10.2
  • 1.9.3
  • 1.9.2 (2)
  • 1.8.2 (5)
  • 1.8.1
  • 1.8.0
  • 1.7.2
  • 1.7.1 (2)
  • 1.6.1
  • 1.4.1 (2)
  • 1.4.0

Package names

  • NumPy (3)
  • dev-python/numpy (3)
  • development/numpy
  • development/numpy-legacy
  • development/numpy-legacy3
  • development/numpy3
  • math/py-numpy (3)
  • math/py-numpy16
  • mingw-w64-i686-python-numpy
  • mingw-w64-x86_64-python-numpy
  • numpy (9)
  • numpy-dbginfo
  • numpy@1.16
  • py-numpy (2)
  • py-numpy-dev
  • py-numpy-doc
  • py-numpy-f2py
  • py2-numpy
  • py2-numpy-f2py
  • py27-numpy
  • py3-numpy
  • py3-numpy-dev
  • py3-numpy-doc
  • py3-numpy-f2py
  • py35-numpy
  • py36-numpy
  • py37-numpy
  • py38-numpy
  • python-module-numpy
  • python-numpy (14)
  • python-numpy-debuginfo
  • python-numpy-doc (2)
  • python-numpy-docs-devhelp
  • python-numpy-documentation
  • python-numpy-mkl
  • python-numpy-mkl-bin
  • python-numpy-openblas
  • python-numpy_1_14_0-gnu-hpc
  • python-numpy_1_16_1-gnu-hpc
  • python-numpy_1_16_5-gnu-hpc
  • python-numpy_1_17_3-gnu-hpc
  • python-numpy_1_19_0-gnu-hpc
  • python2-numpy (5)
  • python2-numpy-documentation
  • python2.7-numpy
  • python27-numpy
  • python3-module-numpy
  • python3-numpy (11)
  • python3-numpy-doc
  • python3.7-numpy
  • python3.8-numpy
  • python36-numpy
  • python37-numpy
  • python38-numpy

Repositories

Categories

  • Debug
  • Development/Languages (2)
  • Development/Libraries/Python
  • Development/Python (6)
  • Development/Python3
  • Python
  • Unspecified (4)
  • debug
  • dev-python (3)
  • development (2)
  • extra/scientific
  • library
  • math (3)
  • misc
  • programming.python
  • python (4)
  • python27Packages
  • python37Packages
  • python38Packages
  • universe/python

Licenses

  • 3-clause BSD License
  • BSD (13)
  • BSD and Python (2)
  • BSD and Python and ASL 2.0
  • BSD-3-Clause (4)
  • Free-to-use
  • Public Domain
  • as-is
  • custom (2)

Summaries

  • A fast multidimensional array facility for Python (6)
  • A fast multidimensional array facility for Python 2
  • A fast multidimensional array facility for Python 3 (2)
  • Array computing for Python (PY38)
  • Array processing for numbers, strings, records, and objects
  • Array processing for numbers, strings, records, and objects in Python
  • Array processing for numbers, strings, records, and objects with Python.
  • Debug symbols for numpy
  • Documentation for NumPy
  • Documentation for python-numpy
  • Documentation for python3-numpy
  • Documentation for the python-numpy package
  • Dummy package depending on numpy
  • Fast and sophisticated array facility to Python2
  • Fast and sophisticated array facility to Python3
  • Fast array and numerical python library
  • Fundamental package for scientific computing with Python
  • HTML documentation for Python NumPy with GNOME Devhelp support
  • NumPy array processing for numbers, strings, records and objects
  • NumPy is the fundamental package for scientific computing with Python. (2)
  • NumPy: array processing for numbers, strings, records, and objects (2)
  • Numerical Python
  • Numerical-Python
  • Package for scientific computing with Python
  • Python scientific computing module
  • Scientific computing library for the Python.
  • Scientific tools for Python (5)
  • Scientific tools for Python (development files)
  • Scientific tools for Python (documentation)
  • Scientific tools for Python (mingw-w64)
  • Scientific tools for Python - built with openblas
  • Scientific tools for Python - with Intel MKL - prebuilt binaries from Anaconda
  • Scientific tools for Python 2 (2)
  • Scientific tools for Python 3
  • Scientific tools for Python, compiled with intel mkl
  • The New Numeric Extension to Python
  • The core utilities for the scientific library scipy for Python
  • The fundamental package for scientific computing with Python is called NumPy.
  • The fundamental package needed for scientific computing with Python
  • f2py for numpy (for python2)
  • f2py for numpy (for python3)
  • fast array and numeric programming library for Python
  • numerical programming package for the Python programming language
  • numpy (scientific computing with Python)

Maintainers

Homepages

Downloads