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----------------- | **`Travis CI Status`** | |-------------------| |[![Travis](https://img.shields.io/travis/numpy/numpy.svg)](https://travis-ci.org/numpy/numpy)|

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: