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[](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: * http://www.numpy.org 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: * http://github.com/numpy/numpy