Python Coding Practice

Solve BFS of Graph using Python Language

Solve BFS of Graph using Python to enhance your skills with python coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

BFS of Graph

Difficulty : Easy

Categories :

  • Graphs

Given a connected undirected graph represented as an adjacency list adj, perform a Breadth First Search (BFS) traversal starting from vertex 0. Return a list containing the BFS traversal of the graph.

Follow the order of vertices as they appear in the adjacency list when processing neighbors.

Constraints:

  • 1 ≤ adj.size() ≤ 104
  • 1 ≤ adj[i][j] ≤ 104
  • Graph is connected and undirected
  • Start vertex is always 0

Examples:

Input: adj = [[2,3,1], [0], [0,4], [0], [2]]
Output: [0,2,3,1,4]
Explanation: Starting from 0:
1. Visit 0
2. Visit neighbors of 0: 2,3,1
3. Visit unvisited neighbors of 2: 4
Input: adj = [[1,2], [0,2], [0,1,3,4], [2], [2]]
Output: [0,1,2,3,4]
Explanation: Process neighbors level by level,
following adjacency list order

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Linked Lists A linear data structure where each element (node) points to the next, offering dynamic memory allocation and efficient insertions/deletions.

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Searching Algorithms Methods for finding elements in a dataset, such as binary search, linear search, and graph traversal techniques.

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