A beginner-friendly walkthrough of Dijkstra's Shortest Path algorithm, explaining how it finds the shortest route through a weighted graph. Uses a European cities example to illustrate key concepts: initializing distances to infinity, relaxing edges as shorter paths are discovered, and maintaining parent pointers to reconstruct the final path. Also covers why the algorithm fails with negative edge weights and how edge weights can be tuned for real-world routing scenarios like bicycle-friendly roads. Includes a sample Python implementation for demonstration.
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