Empowering Scientific Computing and Data Manipulation With Numerical Python (NumPy)-Reference-Cited by-同舟云学术

Empowering Scientific Computing and Data Manipulation With Numerical Python (NumPy)

Published:2023-06-30 Issue: Volume: Page:147-161
ISSN:2327-3453
Container-title:Advances in Systems Analysis, Software Engineering, and High Performance Computing
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Author:

Gedefa Tesfaye Fufa¹^ORCID,Gouse Galety Mohammed²^ORCID,Iticha Garamu Tilahun³

Affiliation:

1. Space Science and Geospatial Institute, Ethiopia

2. Samarkand International University of Technology, Uzbekistan

3. Debre Markos University, Ethiopia

Abstract

NumPy is a Python library for performing numerical data structures and specialized computing. It improves the components of N-dimensional arrays and provides operations and tools to interface with these arrays. NumPy implements the N-dimensional array, or ndarray, and provides Python-specific scientific methods for performing realistic array and matrix operations. When compared to array programming in other languages, it will allow us to do a wide range of mathematical operations and data manipulations. NumPy can be used with other Python packages and programming languages such as C and C++. NumPy now supports object-oriented programming as well. For example, a class called ndarray may be an N-dimensional array with multiple ways of performing various data structure operations and characteristics.

Publisher

IGI Global

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