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NumPy (Numerical Python) is a mathematical library written in Python + C (IIRC + some Fortran code), well-known for Python language programmers. 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
  • wrappers around most Fortran-written BLAS/LAPACK functions

Additional speedup can be obtained via linking NumPy with Intel MKL / AMD ACML (currently it requires some efforts in modification makefiles, I guess in future the operation will be simplified).

Also you may be interested in SciPy that is another one mathematical library written in Python language (same developers) - it contains numerical integration, optimization, signal, stat etc submodules.

NumPy homepage: http://numpy.org or http://numpy.scipy.org/

Wikipedia entry for numpy: http://en.wikipedia.org/wiki/Numpy

Having NumPy installed is required for our soft (OpenOpt, FuncDesigner, DerApproximator)

See also:

NumPy_for_Matlab_Users guide
GSoC 2009 project - accelerate NumPy's ufuncs via SSE and multi-core execution by CorePy (Assembly library for Python)
mlabwrap - a high-level Python to MATLAB bridge
libermate - MATLAB to Python code converter
ompc - another MATLAB to Python code converter
pym - another one MATLAB to Python code converter
Retrieved from "http://openopt.org/NumPy"
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