Data Structures | Python - Working Of Python Program To Find Shortest Path Using BFS | Graph Data Structure

In this video, we continue our exploration of the BFS (Breadth-First Search) algorithm. In the previous tutorial, we wrote a Python program to find the shortest path between two nodes using the BFS algorithm. Today, we’ll dive deeper into understanding how the program works with a practical example. We’ll go through the code step by step, starting from the graph representation in dictionary form to the logic of the function that calculates the shortest path. We'll explain how the algorithm marks nodes as visited, adds them to the queue, and checks each node in the graph until it finds the target node. We’ll also show how the path is traced back once the target node is found, and how it’s reversed to give the correct order. By the end of this video, you’ll have a complete understanding of how to implement and work with BFS in Python to find the shortest path between two nodes in a graph.