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This Python project provides a visual representation of Dijkstra's algorithm on a graph. It allows users to input the number of nodes, specify the nodes, input the edges with weights, and choose a starting node. The script then visualizes the shortest distances and paths from the chosen starting node using networkx and matplotlib.
🤔 Why this feature?
This feature would be incredibly helpful for:
Education: Helping students and developers understand how Dijkstra's algorithm works visually.
Debugging and Analysis: Allowing users to visualize their graph data and paths, making it easier to verify that the shortest path and distances are computed correctly.
User Interaction: Providing an intuitive and interactive way for users to learn or apply Dijkstra’s algorithm on their own custom input, making the program more engaging and practical.
📋 Expected Behavior
The project should:
Input the number of nodes and edges.
Input the edges between nodes and their corresponding weights.
Choose a starting node from which the shortest paths will be calculated.
🖼️ Example/Mockups
📝 Additional Details
Add any other details or suggestions.
The text was updated successfully, but these errors were encountered:
🌟 Feature Overview
This Python project provides a visual representation of Dijkstra's algorithm on a graph. It allows users to input the number of nodes, specify the nodes, input the edges with weights, and choose a starting node. The script then visualizes the shortest distances and paths from the chosen starting node using networkx and matplotlib.
🤔 Why this feature?
This feature would be incredibly helpful for:
📋 Expected Behavior
The project should:
🖼️ Example/Mockups
📝 Additional Details
Add any other details or suggestions.
The text was updated successfully, but these errors were encountered: