<
8000
a href="https://travis-ci.org/numpy/numpy" rel="nofollow">
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 (if nose is installed) with:
python -c 'import numpy; numpy.test()'
The most current development version is always available from our git repository:
