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Simulating Physical Processes in Education with Python?s Tools

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F24%3A43899003" target="_blank" >RIV/44555601:13440/24:43899003 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-70959-3_7" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-70959-3_7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-70959-3_7" target="_blank" >10.1007/978-3-031-70959-3_7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Simulating Physical Processes in Education with Python?s Tools

  • Original language description

    The paper presents comprehensive research on computer simulations of diverse physical processes through the Python programming language, enhanced by graphical user interfaces (GUIs). Utilizing functional programming approaches, this work integrates Euler-Cromer and Verlet iterative algorithms alongside molecular dynamics methods. These methods are crucial for modeling complex physical phenomena, including phase transitions in two-dimensional systems?a focal point of this study. The Tkinter module, an essential Python component, is employed to develop the GUI, facilitating interactive visualization of simulations. This research covers a broad spectrum of physical phenomena: the dynamics of objects in uniform gravitational fields with air resistance, the behavior of charges in electromagnetic fields, transport phenomena, force line distribution and equipotential surfaces around point charges, interference patterns from mechanical waves, and light diffraction through narrow slits. These topics illuminate the versatile nature of physical processes. A key aspect of this paper is showcasing Python?s effectiveness in simulating physical phenomena, demonstrating capabilities for rendering both two-dimensional and three-dimensional visualizations with dynamic animations. The study elaborates on Python?s advantages for physics research, such as its accessibility, rich library ecosystem, and straightforward integration of graphical elements for enhanced visualization. Python?s adeptness at managing intricate calculations and visualizations confirms its suitability for educational and research purposes in physics. It serves as an essential resource for those interested in the computational simulation of physical processes, offering theoretical insights and practical guidelines for leveraging Python and its GUI capabilities in educational settings

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes on Data Engineering and Communications Technologies

  • ISBN

    978-3-031-70958-6

  • ISSN

  • e-ISSN

  • Number of pages

    17

  • Pages from-to

    132-148

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Berlín

  • Event location

    Ústí nad Labem

  • Event date

    Jun 19, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article