SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. SciPy provides modules for Statistics, Optimization, Numerical integration, Linear algebra, Fourier transforms, Signal processing, Image processing, ODE solvers. 
 Sourceforge location: <A HREF="http://sourceforge.net/projects/scipy/" target="_blank">http://sourceforge.net/projects/scipy/</A>

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

SciPy - software for Mathematics, Science, and Engineering

NumPy is the fundamental package needed for scientific computing with Python. Numerical Python adds a fast and sophisticated N-dimensional array facility to the Python language. NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

NumPy - fundamental package for scientific computing with Python

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.
 
The complete range of subject areas covered by the library includes:
	<ul>
 <li>Complex Numbers</li>
 <li>Roots of Polynomials</li>
 <li>Special Functions</li>
 <li>Vectors and Matrices</li>
 <li>Permutations</li>
 <li>Sorting</li>
 <li>BLAS Support</li>
 <li>Linear Algebra</li>
 <li>Eigensystems</li>
 <li>Fast Fourier Transforms</li>
 <li>Quadrature</li>
 <li>Random Numbers</li>
 <li>Quasi-Random Sequences</li>
 <li>Random Distributions</li>
 <li>Statistics</li>
 <li>Histograms</li>
 <li>N-Tuples</li>
 <li>Monte Carlo Integration</li>
 <li>Simulated Annealing</li>
 <li>Differential Equations</li>
 <li>Interpolation</li>
 <li>Numerical Differentiation</li>
 <li>Chebyshev Approximation</li>
 <li>Series Acceleration</li>
 <li>Discrete Hankel Transforms</li>
 <li>Root-Finding</li>
 <li>Minimization</li>
 <li>Least-Squares Fitting</li>
 <li>Physical Constants</li>
 <li>IEEE Floating-Point</li>
 <li>Discrete Wavelet Transforms</li>
 <li>Basis splines</li>
 <li>Running Statistics</li>
 <li>Sparse Matrices and Linear Algebra</li>
 </ul>

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.

GSL - GNU Scientific Library

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SciPy - software for Mathematics, Science, and Engineering

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SciPy - software for Mathematics, Science, and Engineering

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