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SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [3]) is a free and open-source Python library used for scientific computing and technical computing. [4]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.
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It is best known for the early development and maintenance of the SciPy library of mathematics, science, and engineering algorithms [3] and for its Python for scientific computing distribution Enthought Canopy (formerly EPD). [4] The company was founded in 2001 by Travis Vaught and Eric Jones. [1] [2]
SciPy, [18] [19] [20] a large BSD-licensed library of scientific tools. De facto standard for scientific computations in Python. ScientificPython, a library with a different set of scientific tools; SymPy, a library based on New BSD license for symbolic computation. Features of Sympy range from basic symbolic arithmetic to calculus, algebra ...
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It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]