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
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