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Simulating Physical Processes in Education with Python?s Tools

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Simulating Physical Processes in Education with Python?s Tools

  • Popis výsledku v původním jazyce

    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

  • Název v anglickém jazyce

    Simulating Physical Processes in Education with Python?s Tools

  • Popis výsledku anglicky

    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

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

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

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Lecture Notes on Data Engineering and Communications Technologies

  • ISBN

    978-3-031-70958-6

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    17

  • Strana od-do

    132-148

  • Název nakladatele

    Springer Science and Business Media Deutschland GmbH

  • Místo vydání

    Berlín

  • Místo konání akce

    Ústí nad Labem

  • Datum konání akce

    19. 6. 2024

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku