SciPy is a library created in 2001 by Eric Jones.
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SciPy (pronounced "Sigh Pie") is an open source Python library used for scientific computing and technical computing. 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. SciPy builds on the NumPy array object and is part of the NumPy stack which includes tools like Matplotlib, pandas and SymPy, and an expanding set of scientific computing libraries. Read more on Wikipedia...
| title | author | year | reviews | ratings | rating |
|---|---|---|---|---|---|
| SciPy and NumPy: An Overview for Developers | Eli Bressert | 2012 | 10 | 47 | 2.96 |
| Learning Scipy for Numerical and Scientific Computing | Francisco Blanco-Silva | 2013 | 5 | 10 | 4.10 |
| Learning SciPy for Numerical and Scientific Computing - Second Edition | Sergio J. Rojas G. | 2015 | 1 | 6 | 3.83 |
| Scipy Programming Succinctly | James McCaffrey | 0 | 0 | 0.0 | |
| Learning Scipy for Numerical and Scientific Computing | Francisco Javier Blanco Silva | 2013 | 0 | 0 | 0.0 |
| Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts | Ashwin Pajankar | 0 | 1 | 3.00 | |
| Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib | Robert Johansson | 0 | 0 | 0.0 | |
| Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and Scipy | Ashwin Pajankar | 0 | 0 | 0.0 |