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Merge pull request #5916 from jorisvandenbossche/doc-nanfunctions

DOC: add nanmedian/nanpercentile to reference docs
latest commit d1acfd9c23
@charris charris authored
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branding/icons add .gitattributes and fix line endings
doc DOC: add nanmedian/nanpercentile to reference docs
numpy Merge pull request #5892 from andreabedini/master
tools MAINT: switch waf download to https://github.com/numpy/numpy-vendor
.gitattributes TST: Add tests for Python2, Python3 *.npy compatibility.
.gitignore ENH: Ignore PyCharm project files.
.gitmodules Add Numpydoc as a git submodule
.mailmap ENH - .mailmap file to harmonize git shortlog
.travis.yml Merge pull request #5829 from rgommers/bento-ci
BENTO_BUILD.txt STY: Giant whitespace cleanup.
COMPATIBILITY Add loadtxt and savetxt adapted from matplotlib.
CONTRIBUTING.md DOC: add more details to instructions for reporting issues
DEV_README.txt STY: Giant whitespace cleanup.
INSTALL.txt DOC: Document Carl Kleffner's MinGW-w64 toolchain in INSTALL.txt.
LICENSE.txt MAINT: update year of copyright note in LICENSE.txt
MANIFEST.in MAINT: Move doc/swig to tools/swig.
README.txt STY: Giant whitespace cleanup.
TEST_COMMIT Test commit to trigger buildbot -- ignore.
THANKS.txt ENH: core: Start einsum function, add copyright notices to files
bento.info BLD: Use system-wide fenv.h on cygwin
bscript BLD: remove cython c source from git
pavement.py Merge pull request #4671 from charris/prepare-1.10-devel
release.sh MAINT: update release scripts for building OS X binaries.
runtests.py MAINT: runtests: enable generation of C code coverage info via gcov
setup.py BLD: Add mingw-w64 support for the mingw64static option.
setupegg.py 2to3: Apply `print` fixer.
site.cfg.example ENH: rpath and runtime_library_dirs equivalent
tox.ini MAINT: Make NPY_RELAXED_STRIDE_CHECKING true by default.

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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