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Merge pull request #5914 from sirtom67/master

New typemap for in-place arrays of arbitrary number of dimensions:
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@charris charris authored
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doc Merge pull request #5914 from sirtom67/master
numpy Merge pull request #5892 from andreabedini/master
tools New typemap for in-place arrays of arbitrary number of dimensions:
.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. 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 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 BLD: Add mingw-w64 support for the mingw64static option. 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.


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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