Scipy Assignment Help

Pushkar Nandgaonkar
Jun 1, 2022
3 min read

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What is Scipy ?

SciPy is a free and open-source Python library used for scientific computing. SciPy is a collection of mathematical algorithms and convenience functions built on the Numpy extension of Python. It's based on the NumPy extension and allows users to modify and visualise data using a variety of high-level commands. As previously said, SciPy is based on NumPy, therefore you won't need to import NumPy if you import SciPy.

Numpy and scipy both are python libraries which are used for mathematical and numerical analysis. Scipy consists of all numeric code. Scipy has different functions with very details. Scipy performs complex calculations like linear algebraic and numerical algorithms. Scipy written in python hence it is slower compared to numpy. In the scipy there is no concept of array because it is a function based library.

It has a lot of user-friendly and effective numerical integration and optimization capabilities. Integration, gradient optimization, special functions, ordinary differential equation solvers, parallel programming tools, and many other features are available in the SciPy package. Every complex numerical computation has a SciPy implementation.

Why Use Scipy ?

SciPy includes a number of important mathematical methods that make it simple to create sophisticated and devoted applications. Because it is an open-source library, it has a vast community contributing to the creation of its extra modules all over the world, and it is extremely useful for scientists and data scientists.

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