USING THE PYTHON PROGRAM IN PHYSICS LESSONS

Abstract

Modern physics teaching requires innovative methods, and in this context, the use of the Python programming language in physics lessons represents a promising and relevant approach. Python provides students with powerful tools for visualizing data, modeling physical phenomena, and solving complex problems. Numerical analysis, symbolic computing, and microcontroller programming capabilities with Python expand learning horizons, allowing students to not only learn theory, but also apply it in practice. The purpose of this study is to evaluate the effectiveness and applicability of using the Python programming language in physics lessons. The study aims to determine the impact of this innovative approach on the level of understanding of physics concepts, programming development, and the overall motivation and interest of students in learning physics. Scientific Significance: The study makes a significant contribution to the field of physics education by providing a systematic assessment of the effectiveness of using the Python programming language in physics lessons. The practical significance lies in raising the educational level, deepening the understanding of physics and preparing students for modern labor market requirements. The methodology includes sampling, designing Python-based curriculum, implementing activities, testing knowledge, and drawing conclusions. Key Findings and Analysis of the Research Work: Students using Python in physics classes exhibit higher levels of understanding of physics concepts and significant improvements in programming skills. Conclusions and Recommendations: The study confirms the positive impact of using Python in physics lessons. The new approach contributes to a deeper assimilation of the material, the development of programming and increased interest in the subject. Based on the results of the study, it is recommended to introduce similar methods into the educational process, as well as further research in the field of integrating programming into science teaching. The value of using Python in physics lessons: Python provides interactive lessons and solutions to complex physics problems. With SymPy libraries, students can solve equations, while Pandas and Matplotlib help analyze and visualize data in scientific work. The practical significance of the study lies in its ability to provide specific recommendations for improving the educational process and preparing students for modern challenges and opportunities.