SciPy can interface with PyTables, a hierarchical database package designed to efficiently manage large amounts of data using HDF5. Via RPy, SciPy can interface to the R statistical package for advanced data analysis. While SciPy has its own optimization package, OpenOpt has access to more optimization packages and solvers. Other popular graphics tools include Python Imaging Library and MayaVi (for 3D visualization). The currently recommended 2-D plotting package is Matplotlib, however, there are many other plotting packages such as HippoDraw, Chaco, and Biggles. SciPy's core feature set is extended by many other dedicated software tools. * weave: Allows the inclusion of C/C++ within Python code * lib: Python wrappers to external libraries * fftpack: Discrete Fourier Transform algorithms Older versions of SciPy used Numeric as an array type, which is now deprecated in favor of the newer NumPy array code. The basic data structure in SciPy is a multidimensional array provided by the NumPy module. SciPy is currently distributed under the BSD license and its development is sponsored by Enthought. It has a similar audience to applications as MATLAB and Scilab. SciPy contains modules for optimization, linear algebra, integration, interpolation special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering. Website = [ SciPy is an open source library of algorithms and mathematical tools for the Python programming language. Developer = community project sponsored and supported by Enthought
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