posit (unum type III) integrated Numpy
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xman posit: release v1.
Signed-off-by: ShinYee <shinyee@speedgocomputing.com>
Latest commit 9fc96c0 Sep 24, 2018
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.circleci TST: Add Python 3.7 to CI testing (numpy#11598) Jul 22, 2018
benchmarks BENCH: belated addition of lcm, gcd to ufunc benchmark. Jul 3, 2018
branding/icons add .gitattributes and fix line endings Oct 31, 2010
doc DOC: Prepare for NumPy 1.15.1 release. Aug 21, 2018
numpy posit: update softposit. Sep 20, 2018
tools BUG: Increase required cython version on python 3.7 Aug 16, 2018
.appveyor.yml TST: Add Python 3.7 to CI testing (numpy#11598) Jul 22, 2018
.coveragerc TST: Add `.coveragerc` file for coverage testing. Apr 4, 2018
.gitattributes MAINT: Remove numpy-macosx-installer and win32build directories. Feb 25, 2017
.gitignore MAINT: Added pytest cache folder to .gitignore Apr 26, 2018
.gitmodules posit: Add softposit repository. Aug 13, 2018
.mailmap MAINT: Update mailmap Jun 20, 2018
.travis.yml TST: Add Python 3.7 to CI testing (numpy#11598) Jul 22, 2018
CONTRIBUTING.md DOC: fix broken links for developer documentation Apr 21, 2018
INSTALL.rst.txt DOC: link to TESTS.rst.txt testing guidelines, tweak testing docs Jul 16, 2018
LICENSE.txt DOC: Update license documentation. Nov 27, 2017
MANIFEST.in MAINT: Package `tools/allocation_tracking` Jun 12, 2018
README.md DOC: work around GH isaacs/github#316 to show SVG image Apr 29, 2018
THANKS.txt ENH: core: Start einsum function, add copyright notices to files Jan 23, 2011
pavement.py REL: prepare 1.15.x for further development Aug 21, 2018
pytest.ini TST: Update pytest.ini and PytestTester Apr 4, 2018
runtests.py STY: Move comments, reduce indentation May 29, 2018
setup.py posit: release v1. Sep 24, 2018
site.cfg.example MAINT: distutils.system_info: handle Accelerate like any other library May 8, 2018
tox.ini TST: Add Python 3.5 and 3.6 to Tox environments Mar 8, 2017



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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