Skip to content
Numpy main repository
Python C Other
Pull request Compare This branch is 176 commits ahead, 6443 commits behind numpy:master.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.
benchmarks ran reindent
branding/icons add .gitattributes and fix line endings
distnumpy Implemented array views.
doc ENH: Add the polynomial module to the documentation.
numpy Implemented array views.
tools ENH: do not make backup copies when running 2to3.
.gitattributes add .gitattributes and fix line endings
.gitignore ENH: add files generated during build and site.cfg to .gitignore.
COMPATIBILITY Add loadtxt and savetxt adapted from matplotlib.
DEV_README.txt DOC: Change mention of SVN to Git.
INSTALL.txt TYP: Fix typo.
LICENSE.txt Updated license file
MANIFEST.in BLD: do not install swig/cython/pyrex files. See #1791.
README.txt DOC: recommend to turn on deprecation warnings for Python >= 2.7.
TEST_COMMIT _
THANKS.txt ENH: core: Start einsum function, add copyright notices to files
pavement.py REL: set version to 1.6.1
release.sh REL: set version to 1.6.0rc1
setup.py The distutil will now default to mpicc when CC or LDSHARED is not def…
setupegg.py 3K: make setupegg.py work through imp.
setupscons.py BUG: Remove invalid reference to FULLVERSION from setupscons.py.
setupsconsegg.py Add a setupsconsegg.py file to build with scons and setuptools.
site.cfg.example DOC: document inconsistent path separator in site.cfg path lists. Clo…

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://scipy.org/NumPy

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:

http://github.com/numpy/numpy


Something went wrong with that request. Please try again.