Simulation and Visualization of Algorithms for Educational and Analytical Purposes

Nilanjeet GugaleDKTE College, Ichalkarnjj, Kolhapur The Simulation and Visualization of Algorithms for Educational and Analytical Purposes is an interactive platform developed to help users understand complex algorithms through real time visualization and analysis. The system enables step by step execution of algorithms and visually demonstrates changes in data structures during execution, making theoretical concepts easier to understand practically. It includes components such as an Algorithm Execution Engine, Visualization Interface, and Performance Analysis Dashboard. The platform is built using Python, Tkinter, Matplotlib, MERN Stack, and D3.js to provide an engaging and user friendly experience. Users can explore sorting, searching, and graph algorithms while analyzing performance metrics like time complexity and memory usage. This platform supports students, teachers, and researchers by improving learning, conceptual understanding, and analytical thinking related to algorithms.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20329797
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
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Simulation and Visualization of Algorithms for Educational and Analytical Purposes

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Simulation and Visualization of Algorithms for Educational and Analytical Purposes

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article en

Abstract

Nilanjeet GugaleDKTE College, Ichalkarnjj, Kolhapur The Simulation and Visualization of Algorithms for Educational and Analytical Purposes is an interactive platform developed to help users understand complex algorithms through real time visualization and analysis. The system enables step by step execution of algorithms and visually demonstrates changes in data structures during execution, making theoretical concepts easier to understand practically. It includes components such as an Algorithm Execution Engine, Visualization Interface, and Performance Analysis Dashboard. The platform is built using Python, Tkinter, Matplotlib, MERN Stack, and D3.js to provide an engaging and user friendly experience. Users can explore sorting, searching, and graph algorithms while analyzing performance metrics like time complexity and memory usage. This platform supports students, teachers, and researchers by improving learning, conceptual understanding, and analytical thinking related to algorithms.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 4%
Teaching and Learning Programming
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