SciPy is a free and 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
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FAQs
SciPy is a scientific computation library that uses NumPy underneath.
SciPy stands for Scientific Python.
It provides more utility functions for optimization, stats and signal processing.
Like NumPy, SciPy is open source so we can use it freely.
SciPy was created by NumPy's creator Travis Olliphant.
If SciPy uses NumPy underneath, why can we not just use NumPy?
SciPy has optimized and added functions that are frequently used in NumPy and Data Science.
SciPy is predominantly written in Python, but a few segments are written in C.
The source code for SciPy is located at this github repository https://github.com/scipy/scipy
