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Bulletin of Abai KazNPU. Series of Physical and mathematical sciences

MATHEMATICAL MODELING AND DATA PROCESSING IN PYTHON

Published December 2024

188

98

G. Alkhanova+
Аlikhan Вokeikhan University, Semey, Kazakhstan
https://orcid.org/0000-0002-1151-7254
S. Zhuzbayev+
L.N.Gumilyov Eurasian National University, Astana, Kazakhstan
https://orcid.org/0000-0002-0018-6816
A. Baikonys +
Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
https://orcid.org/0009-0002-2418-0993
Ye. Pernebayev+
South Kazakhstan University named after M. Auezov, Shymkent, Kazakhstan
https://orcid.org/0009-0007-7473-8867
Аlikhan Вokeikhan University, Semey, Kazakhstan
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G. Alkhanova

PhD, Acting Associate Professor 

L.N.Gumilyov Eurasian National University, Astana, Kazakhstan
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S. Zhuzbayev

Candidate of Physical and Mathematical Sciences, Professor

Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
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A. Baikonys

Master of Natural Sciences, lecturer

South Kazakhstan University named after M. Auezov, Shymkent, Kazakhstan
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Ye. Pernebayev

Doctoral Student

Abstract

The advent of mathematical modeling has significantly impacted various aspects of people's lives and has contributed to advancements in civilization and the exploration of new frontiers. Scientific modeling is a fundamental component of modern research, offering a method for both qualitative and quantitative representation of processes, phenomena, or objects through numerical models. These models are developed using mathematical tools that effectively capture the essence of the real-world processes, phenomena, or objects being studied.

A thorough examination of the history and application scope of mathematical modeling reveals its profound influence in simplifying human life and addressing pressing challenges faced by humanity. This includes an exploration of both the benefits and limitations associated with scientific modeling. Additionally, this study delves into the utilization of computer programs, particularly Python, for simulating physical phenomena.

This work encompasses various aspects of scientific modeling, ranging from its historical origins to the classification of numerical modeling techniques and models. Practical experiments on modeling free harmonic motions, such as second-order thermal conductivity, using Python's scientific packages with the capability to manipulate input data are also presented. Through these endeavors, valuable insights into the intricacies of mathematical modeling and its practical applications are gained.

pdf
Language

English

How to Cite

[1]
Alkhanova , G., Zhuzbayev, S., Baikonys , A. and Pernebayev, Y. 2024. MATHEMATICAL MODELING AND DATA PROCESSING IN PYTHON. Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 88, 4 (Dec. 2024), 137–144. DOI:https://doi.org/10.51889/2959-5894.2024.88.4.014.