| NumPy is the fundamental package needed for scientific computing with Python. |
| This package contains: |
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| * 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. |
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| 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. |
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| More information can be found at the website: |
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| http://www.numpy.org |
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| After installation, tests can be run with: |
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| python -c 'import numpy; numpy.test()' |
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| The most current development version is always available from our |
| git repository: |
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| http://github.com/numpy/numpy |
