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  1. C 58.4%
  2. Python 39.3%
  3. C++ 1.5%
  4. TeX 0.7%
  5. Fortran 0.1%
  6. Objective-C 0.0%
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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