What is SciPy in Python? Explain how it can be installed, and its applications?

Data present in large amounts needs to be dealt with properly. This is why computers with large capacities are used. Scientific and technical computations of large datasets can be done with the help of a library in Python known as SciPy. SciPy is short of ‘Scientific Python’.

The Numpy library in Python is a pre-requisite to SciPy because SciPy is built on top of Numpy. Ensure that Numpy library is installed before installing SciPy library. It is an open-source software that is easily available to install and use.

It has many features of data science and machine learning that are required to successfully process and work with data. It can be used to perform operations on Numpy arrays. The computational speed is high, and it is easy to understand.

Installation of SciPy

pip install scipy

Note − This is the command to download it for windows operating system.

sudo port install py35-scipy py35-numpy

Note − This is the command to download it for mac operating system.

sudo apt-get install python-scipy python-numpy

Note − This is the command to download it for Linux operating system.

SciPy can also be used for various other purposes such as −

• Integration
• Interpolation
• Least squares used in Regression
• Optimization
• Signal processing
• Linear algebra

Let us understand how values can be integrated (mathematical operation)

Example

 Live Demo

import scipy.integrate
my_fun = lambda x: 11.345*x
i = scipy.integrate.quad(my_fun, 0, 3.1)
print("The integrated values are : ")
print(i)

Output

The integrated values are :
(54.512725, 6.052128243005939e-13)

Explanation

• The required libraries are imported, and alias names are given for ease of use.
• A lambda function is defined to generate data values.
• These are the values that are integrated.
• The ‘integrate’ function present in SciPy is called.
• The output is displayed on the console.

AmitDiwan

Published on 11-Dec-2020 10:21:48

• Related Questions & Answers
• Explain how Nelder-Mead algorithm can be implemented using SciPy Python?
• Explain how the minimum of a scalar function can be found in SciPy using Python?
• How can discrete Fourier transform be performed in SciPy Python?
• How can SciPy be used to calculate the permutations and combination values in Python?
• Java instanceof and its applications
• What is OLAP? Explain its advantages and disadvantages
• MakeFile in C++ and its applications
• What is JSON.parse() and and explain its use in javascript?
• What is JSON.stringify() and explain its use in javascript?
• What is non-enumerable property in JavaScript and how can it be created?
• C++ string class and its applications?
• How to get a list of installed android Applications?
• What is Array Decay in C++? How can it be prevented?
• What is hysteresis thresholding? How can it be achieved using scikit-learn in Python?
• strchr() function in C++ and its applications