Bellman-Ford Algorithm Implementation and Visualization in Python
This Python code implements the Bellman-Ford algorithm, a single-source shortest path algorithm that works on graphs with negative edge weights. The code utilizes the networkx and matplotlib libraries for graph visualization.
The Graph class represents the graph and contains methods for adding edges, running the Bellman-Ford algorithm, and visualizing the graph. The bellmanFord method calculates the shortest distances from a specified source node to all other nodes in the graph, while also detecting negative cycles if present. The visualizeGraph method visualizes the graph with edge weights using networkx and matplotlib.
Github Link
https://github.com/IbtasamUrRehman1/g...
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