SciPy in Python by R4R Team

What Is SciPy?
-SciPy is a machine learning library for application developers and engineers. However, you still need to know the difference between SciPy library and SciPy stack. -SciPy library contains modules for optimization, linear algebra, integration, and statistics.

Features Of SciPy:
-The main feature of SciPy library is that it is developed using NumPy, and its array makes the most use of NumPy.

-In addition, SciPy provides all the efficient numerical routines like optimization, numerical integration, and many others using its specific submodules.

-All the functions in all submodules of SciPy are well documented.

Where Is SciPy Used?

-SciPy is a library that uses NumPy for the purpose of solving mathematical functions. SciPy uses NumPy arrays as the basic data structure, and comes with modules for various commonly used tasks in scientific programming.

-Tasks including linear algebra, integration (calculus), ordinary differential equation solving and signal processing are handled easily by SciPy.




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