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Refactoring repo (temporary)
C Python C++ Shell C# FORTRAN
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benchmarks ran reindent
branding/icons add .gitattributes and fix line endings
doc Merge commit '8cbed8ce5253a0aa4341e6edbf8be123a06bb123' (Nov 18) into…
libndarray Updates to support 64-bit builds. Builds but getting crash in test_mu…
numpy Updates to support 64-bit builds. Builds but getting crash in test_mu…
tools Merge commit '14d8e209b0fef60fdda9ed38e4a3dec8ddf91996' (Sep 21) into…
.gitattributes add .gitattributes and fix line endings
.gitignore Add more VS droppings to .gitignore and clean up handling of Debug/Re…
COMPATIBILITY Add loadtxt and savetxt adapted from matplotlib.
DEV_README.txt DOC: Change mention of SVN to Git.
INSTALL.txt Mention nose for requirements.
LICENSE.txt Updated license file ENH: include /*.txt etc. in source dist only, rather than installing it
README.txt DOC: recommend to turn on deprecation warnings for Python >= 2.7.
TEST_COMMIT test commit
THANKS.txt Credit more developers. Fixed paths to remove 'Release' directory. We are just putting files … fixed DLLs included in egg Fixed consistency of iron* iron_* scripts. REL: Apply changes to release notes and paver script in 1.5.x branch … REL: generate both 2.5 and 2.6 win and mac os x installers in release… add git_version() to 3K: make work through imp. Merge commit '8cbed8ce5253a0aa4341e6edbf8be123a06bb123' (Nov 18) into… Add a file to build with scons and setuptools.
site.cfg.example Put one example for mkl 10.0 in site.cfg.example.


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()'

When installing a new version of numpy for the first time or before upgrading
to a newer version, it is recommended to turn on deprecation warnings when
running the tests:

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

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

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