In addition to mathematical algorithms in SciPy, everything from classes and web and database subroutines to parallel programming is available to Python programmer, making it easier and faster to develop sophisticated and specialized applications. SciPy provides high-level commands and classes for data-manipulation and data-visualization, which increases the power of an interactive Python session by significant order. SciPy is an open source project, released under BSD license.An interactive session with SciPy is basically a data-processing and system-prototyping environment just like MATLAB, Octave, Scilab or R-lab.At present Python SciPy library supports integration, gradient optimization, special functions, ordinary differential equation solvers, parallel programming tools and many more in other words, we can say that if something is there in general textbook of numerical computation, there are high chances you’ll find it’s implementation in SciPy.
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