posit (unum type III) integrated Numpy
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README.md

NumPy

Travis AppVeyor

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

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()'

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