refs/tags/v1.14.5 - external/github.com/numpy/numpy - Git at Google

tag	50c351a6fcea69965569f8da1b90b1943544a871
tagger	mattip <matti.picus@gmail.com>	Tue Jun 12 22:03:51 2018
object	d3348c1123d3862a42d50a7fee14e50b268944a4

REL: NumPy 1.14.4 release.

commit	d3348c1123d3862a42d50a7fee14e50b268944a4	[log] [tgz]
author	mattip <matti.picus@gmail.com>	Tue Jun 12 17:41:53 2018
committer	mattip <matti.picus@gmail.com>	Tue Jun 12 17:41:53 2018
tree	43e4037d37448c6426ad2bc1366bad59589ea534
parent	826e101e21fc8163bf820d1ee9a607df34b1b80a [diff]

REL: NumPy 1.14.5 release.

Signed-off-by: mattip <matti.picus@gmail.com>

setup.py[diff]

1 file changed

tree: 43e4037d37448c6426ad2bc1366bad59589ea534

README.md

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()'