depth first search explained and python code line by line explanation

Introduction

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Keywords

• Depth First Search
• Graph
• Python
• Algorithm
• Connectivity
• Nodes
• Matrix
• Index
• Function
• Variable
• Code
• Explanation

FAQ

Q: What is Depth First Search (DFS)?

A: Depth First Search (DFS) is a graph traversal algorithm that starts at the root node and explores as far as possible along each branch before backtracking.

Q: How is DFS implemented in Python?

A: DFS can be implemented in Python using either a recursive function or an iterative approach with a stack to keep track of the nodes to visit next.

Q: What are nodes and edges in the context of DFS?

A: In DFS, nodes represent points in the graph (e.g., cities, webpages), and edges represent the connections between these nodes.

Q: What is the role of a stack in DFS?

A: A stack is used to keep track of the nodes that need to be explored. It follows a Last In, First Out (LIFO) order to ensure that the deepest nodes are visited first.

Q: What are the applications of DFS?

A: DFS is used in scenarios like solving puzzles, topological sorting, finding connected components, and maze solving.