Visualizing Shortest Paths in Graphs: Bellman-Ford vs. Dijkstra with Python (NetworkX & Matplotlib)

In this video, we explore the shortest path algorithms Bellman-Ford and Dijkstra using Python, NetworkX, and Matplotlib. We'll visualize how these algorithms work on a graph with nodes and edges, comparing their paths and total lengths. The graphs illustrate the shortest paths from node 'G' to node 'E' using different weights and algorithms.

Key Points:
- Overview of Bellman-Ford and Dijkstra algorithms.
- Visual comparison of the shortest paths in weighted graphs.
- Python code walkthrough using MicroPython IDE, NetworkX, and Matplotlib.

Watch to understand the differences between these algorithms and see them in action with clear visualizations!