Implementing Dijkstra's Algorithm from Scratch with Python: Graph Visualization Using NetworkX

In this video, I demonstrate how to implement Dijkstra's algorithm from scratch in Python to find the shortest paths in a weighted graph. We use a priority queue to efficiently manage the nodes and edges, and visualize the results using NetworkX and Matplotlib.

What's Covered:
- Custom implementation of Dijkstra's algorithm.
- Building a priority queue to optimize pathfinding.
- Constructing a graph with edges and weights using Python classes.
- Visualizing the shortest paths from a start vertex to all other vertices in the graph.
- Highlighting the paths using NetworkX and Matplotlib for clear visual representation.