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doc Merge pull request #3436 from juliantaylor/vectorize-bool
numpy Issue 3428
tools MAINT: Remove tools/osxbuild
.gitattributes add .gitattributes and fix line endings
.gitignore requested filetypes and dirs to gitignore
.mailmap ENH - .mailmap file to harmonize git shortlog
.travis.yml [BLD] Run 'full' test suite on Travis, including 'slow' tests
BENTO_BUILD.txt DOC: update bento docs (close #2993).
COMPATIBILITY Add loadtxt and savetxt adapted from matplotlib.
DEV_README.txt DOC: Change mention of SVN to Git.
INSTALL.txt MAINT: Improve INSTALL.txt wording and wrap lines at 75 characters.
LICENSE.txt
MANIFEST.in BUG: include mtrand cython files in sdist
README.txt DOC: Remove confusing comment about warnings from top-level README.
TEST_COMMIT
THANKS.txt ENH: core: Start einsum function, add copyright notices to files
bento.info move to www.numpy.org
bscript BLD: fix Bento build after umath_linalg move from core to linalg module.
pavement.py 2to3: Apply `print` fixer.
release.sh DEP: Remove more references to scons related files.
runtests.py ENH: Add a runtests.py script for running the test suite
setup.py 2to3: Stop using 2to3 and remove the tools/py3tool.py file.
setupegg.py
site.cfg.example DOC: document inconsistent path separator in site.cfg path lists. Clo…
tox.ini MAINT: update tox.ini

README.txt

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

    * 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. 

It derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by numarray and can be used to replace numarray.

More information can be found at the website:

http://www.numpy.org

After installation, tests can be run with:

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

The most current development version is always available from our
git repository:

http://github.com/numpy/numpy
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