Republican Scientific and Practical Conference on “Innovative Educational Technologies in the Integration of Natural Sciences: Tradition and Modernity”

This conference was included in the plan of scientific and scientific-technical events to be held at the international and national levels in 2026, pursuant to Order No. 11 of the Ministry of Higher Education, Science and Innovation dated January 16, 2026. It was organized by the Department of Natural Sciences of Namangan State Pedagogical Institute on November 13–14, 2026.

1+ Issues
22+ Articles
32+ Participants
Oʻzbekcha

TABIIY FANLARNI OʻQITISHDA PYTHON DASTURLASH TILI ASOSIDA KOMPYUTER MODELLASHTIRISH TEXNOLOGIYALARIDAN FOYDALANISH

Published
14.11.2026
Journal
Republican Scientific and Practical Conference on “Innovative Educational Technologies in the Integration of Natural Sciences: Tradition and Modernity”
Issue
“Innovative Educational Technologies in the Integration of Natural Sciences: Tradition and Modernity” Republican Scientific and Practical Conference
Pages
98-104
DOI
10.5281/zenodo.23982961

Authors

Abstract

Maqolada tabiiy fanlarni oʻqitish jarayonida Python dasturlash tili asosida kompyuter modellashtirish texnologiyalaridan foydalanish imkoniyatlari koʻrib chiqilgan. Python dasturlash tilining ilmiy hisoblash, matematik modellashtirish va fizik jarayonlarni vizuallashtirishdagi imkoniyatlari tahlil qilingan. Matematik mayatnik tebranishining matematik modeli ishlab chiqilib, uni Python dasturiy muhitida sonli yechish va grafik tasvirlash usuli koʻrsatilgan. Olingan nazariy natijalar asosida kompyuter modellashtirishning tabiiy fanlar boʻyicha amaliy mashgʻulotlarni tashkil etishdagi didaktik imkoniyatlari yoritilgan.

Keywords

Python компьютерное моделирование естественные науки математическая модель численный метод математический маятник визуализация NumPy SciPy Matplotlib.

Other language versions

Русский
В статье рассматриваются возможности использования технологий компьютерного моделирования на основе языка программирования Python в процессе преподавания естественных наук. Проанализированы возможности языка программирования Python в научных расчетах, математическом моделировании и визуализации физических процессов. Разработана математическая модель колебания математического маятника, представлен метод численного решения и графического представления в программной среде Python. На основе полученных теоретических результатов освещены дидактические возможности компьютерного моделирования в организации практических занятий по естественным наукам.
Python компьютерное моделирование естественные науки математическая модель численный метод математический маятник визуализация NumPy SciPy Matplotlib.
English
The article examines the possibilities of using computer modeling technologies based on the Python programming language in the process of teaching natural sciences. The capabilities of the Python programming language in scientific calculations, mathematical modeling, and visualization of physical processes are analyzed. A mathematical model for the oscillation of a mathematical pendulum has been developed, and a method for numerical solution and graphical representation in the Python software environment has been presented. Based on the obtained theoretical results, the didactic possibilities of computer modeling in organizing practical classes in natural sciences are highlighted.
Python computer modeling natural sciences mathematical model numerical method mathematical pendulum visualization NumPy SciPy Matplotlib.

References

1. Matlin M. Scientific computation in Jupyter Notebooks using Python // The Journal of Computational Science Education. 15(2), 2024. – p. 24-28.
2. Weber J., Wilhelm T. The benefit of computational modelling in physics teaching: A historical overview // European Journal of Physics. 41(3), 2020. 034003.
3. Young N.T., Allen G., Aiken J.M., Henderson R., Caballero M.D. Identifying features predictive of faculty integrating computation into physics courses // Physical Review Physics Education Research. 15, 2019. 010114.
4. Mason R., Sirikumara H. A path to computational thinking and computer programming through physics problems // ASEE Annual Conference & Exposition. 2022.
5. Gezerlis A. Numerical Methods in Physics with Python (2nd ed.) // Cambridge University Press, 2023.
6. Linge S., Langtangen H.P. Programming for Computations – Python: A Gentle Introduction to Numerical Simulations with Python // Springer, 2016.
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