how to implement bfs in python
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certainly! below is an informative tutorial on implementing breadth-first search (bfs) in python with a code example. breadth-first search is a graph traversal algorithm that explores all the vertices of a graph level by level.
breadth-first search (bfs) is a graph traversal algorithm that explores a graph level by level, starting from a given source vertex. it is particularly useful for finding the shortest path in an unweighted graph.
we will implement bfs using a queue to keep track of the vertices to be visited. the algorithm involves visiting each neighbor of a vertex before moving on to the next level of vertices.
the graph class is defined to represent an undirected graph using an adjacency list.
the add_edge method is used to add edges to the graph.
the bfs method performs the breadth-first search. it starts from the given source vertex (start), uses a queue to keep track of vertices to be visited, and prints the visited vertices in the order they are visited.
the if _name_ == "__main__": block demonstrates how to create a sample graph and perform bfs starting from a specific vertex (in this case, vertex 1).
breadth-first search is a fundamental graph algorithm used for various applications, including finding the shortest path, connectivity analysis, and more. implementing bfs in python is straightforward, and understanding its principles can be valuable in solving graph-related problems.
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