BFS Traversal on Tree Using Concepts of Classes in Python | Breadth First Search Implementation

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BFS stands for Breadth-First Search. It is an algorithm for traversing or searching a tree, graph, or other data structure. It starts at the tree root (or some arbitrary node of the graph) and explores the neighbor nodes first, before moving to the next level neighbors.

Here's how it works:

Start at the root node and add it to the queue.
Remove the first node from the queue and examine it.
If the node contains the target value, return the node.
Otherwise, add all of its children to the queue and continue the search.
The key advantage of BFS is that it is guaranteed to find the shortest path between the starting node and the target node. However, it can be slower than other search algorithms, as it examines all of the nodes at every level before moving on to the next level.

BFS is often used for finding the shortest path between two nodes in a graph, for example in navigation systems or in computer networks. It can also be used for other tasks, such as checking whether a graph is connected or finding the connected components of a graph.

For learning its implementation using the concepts of python classes kindly watch this lecture and grab the knowledge in detail with depth of learning concepts.

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Sir this video was really helpful :)
Even our college's senior faculty couldn't teach us this well.

nishantdarji
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Sir, from where you have done phd & what's your specialization. I have been part of your class when you visited our Institute in jammu.

sinnersin
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