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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://www.numpy.org
-
-After installation, tests can be run with:
-
-python -c 'import numpy; numpy.test()'
-
-Starting in NumPy 1.7, deprecation warnings have been set to 'raise' by
-default, so the -Wd command-line option is no longer necessary.
-
-The most current development version is always available from our
-git repository:
-
-http://github.com/numpy/numpy