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.<BR><BR>SciPy provides modules for Statistics, Optimization, Numerical integration, Linear algebra, Fourier transforms, Signal processing, Image processing, ODE solvers.<BR><BR>
  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

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SciPy - software for Mathematics, Science, and Engineering

NumPy - fundamental package for scientific computing with Python

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SciPy - software for Mathematics, Science, and Engineering

NumPy - fundamental package for scientific computing with Python

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