Pathfinding Visualizations using Python
Shortest Path Algorithms:-
There are various types of graphs (cyclic, negative, unweighted, weighted, etc.) therefore all of them single algorithm can’t handle. To tackle different problems, we have other shortest-path algorithms:
Types of Shortest Path Algorithms:- As we know there are various types of graphs (weighted, unweighted, negative, cyclic, etc.) therefore having a single algorithm that handles all of them efficiently is not possible. In order to tackle different problems, we have different shortest-path algorithms, which can be categorized into two categories:
1. Dijkstra’s algorithm
2. A* search algorithm
3. Breadth-First Search (BFS)
4. Depth-First Search (DFS) 5. Topological Sort 6. Bellman-Ford algorithm 7. Multi-Source BFS
Dijkstra’s Algorithm Pathfinding Grid Visualization from Source Point to Destination
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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