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Frequently Asked Questions

What is the difference between BFS and DFS in Python?

BFS stands for Breadth First Search is a vertex based technique for finding a shortest path in graph. It uses a Queue data structure which follows first in first out. In BFS, one vertex is selected at a time when it is visited and marked then its adjacent are visited and stored in the queue. It is slower than DFS. Attention reader!

What is the difference between DFs and backtracking in DBMS?

DFS (Depth-first search) is technique used for traversing tree or graph. Here backtracking is used for traversal. In this traversal first the deepest node is visited and then backtracks to it’s parent node if no sibling of that node exist. In graph, there might be cycles and dis-connectivity.

What is depth first search DFS in Python?

Depth-first search DFS (Depth-first search) is technique used for traversing tree or graph. Here backtracking is used for traversal. In this traversal first the deepest node is visited and then backtracks to it’s parent node if no sibling of that node exist.

What is the meaning of BFS in graph theory?

BFS stands for Breadth First Search is a vertex based technique for finding a shortest path in graph. It uses a Queue data structure which follows first in first out.

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