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Merge pull request #5609 from mspacek/patch-1

DOC: fix typos in corrcoef()
latest commit 32e23a1d52
seberg seberg authored
Failed to load latest commit information.
branding/icons add .gitattributes and fix line endings
doc DOC: Update release notes on allclose/isclose changes.
numpy DOC: fix typos in corrcoef()
tools Correct exit code if number of errors % 256 == 0
.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 MAINT: give up on rackspace wheels
BENTO_BUILD.txt STY: Giant whitespace cleanup.
COMPATIBILITY Add loadtxt and savetxt adapted from matplotlib. DOC: add more details to instructions for reporting issues
DEV_README.txt STY: Giant whitespace cleanup.
INSTALL.txt DOC: update "build and install" page in user guide.
LICENSE.txt DOC: Update year range in LICENSE.txt copyright 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 BLD: Use system-wide fenv.h on cygwin
bscript BLD: remove cython c source from git Merge pull request #4671 from charris/prepare-1.10-devel MAINT: update release scripts for building OS X binaries. MAINT: runtests: enable generation of C code coverage info via gcov Change to fully PEP440 compliant dev version numbers (always .dev0) 2to3: Apply `print` fixer.
site.cfg.example DOC: Added MKL win-64 settings to site.cfg example
tox.ini MAINT: Make NPY_RELAXED_STRIDE_CHECKING true by default.


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:

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:
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