https://github.com/xman/numpy-posit

posit (unum type III) integrated Numpy
https://github.com/xman/numpy-posit

posit unum

Last synced: 3 months ago
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posit (unum type III) integrated Numpy

• Host: GitHub
• URL: https://github.com/xman/numpy-posit
• Owner: xman
• License: other
• Fork: true (numpy/numpy)
• Created: 2018-08-02T02:02:38.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-09-26T06:00:23.000Z (about 6 years ago)
• Last Synced: 2024-09-26T01:49:55.306Z (3 months ago)
• Topics: posit, unum
• Language: C
• Homepage: https://www.numpy.org/
• Size: 55.4 MB
• Stars: 14
• Watchers: 5
• Forks: 6
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt

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README

        
# 

[![Travis](https://img.shields.io/travis/numpy/numpy/master.svg?label=Travis%20CI)](https://travis-ci.org/numpy/numpy)

[![AppVeyor](https://img.shields.io/appveyor/ci/charris/numpy/master.svg?label=AppVeyor)](https://ci.appveyor.com/project/charris/numpy)

NumPy is the fundamental package needed for scientific computing with Python.

- **Website (including documentation):** http://www.numpy.org

- **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion

- **Source:** https://github.com/numpy/numpy

- **Bug reports:** https://github.com/numpy/numpy/issues

It provides:

- 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

If ``nose`` is installed, tests can be run after installation with:

    python -c 'import numpy; numpy.test()'

[![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org)