NUMPY LIBRARY AND ITS FEATURES

Abstract

This article discusses the theoretical and practical capabilities of the NumPy library, which is the main tool for performing numerical calculations and data analysis in the Python programming language. The introduction explains the role of NumPy in scientific computing, artificial intelligence, and big data processes worldwide, and the relevance of the topic. The literature review analyzes the results obtained in the works of foreign scientists such as T. Oliphant, S. van der Walt, and CR Harris on ndarray arrays, the array-programming paradigm, and the formation of the NumPy ecosystem. The results and discussion section scientifically reveals the possibilities of ndarray arrays, vectorization and broadcasting mechanisms, statistical and linear algebra functions, random number generation, working with files, and integration with other libraries. Also, conclusions and practical recommendations are developed on the prospects for the application of NumPy in geodesy, GIS, remote sensing, economic and social research, and education.