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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