In this video, we take a detailed look at how to find the shortest path between two nodes in a graph using the Breadth-First Search (BFS) algorithm in Python. This tutorial is perfect for beginners who want to understand graph traversal and path finding step by step.
We start by explaining the concept of BFS, why it guarantees the shortest path in unweighted graphs, and then move on to building the logic in a simple and understandable way. You'll learn how to implement BFS in Python, how to validate the input nodes, track visited nodes, and reconstruct the shortest path using a visited dictionary.
We also cover how this method can be used in both undirected and directed graphs. By the end of the video, you’ll have a clear understanding of how to apply BFS to real-world problems and use it confidently in your coding journey. If you're preparing for coding interviews or brushing up on data structures and algorithms, this is a great place to start.
