🚀 Learn How to Find the Shortest Path in a Graph with Path Reconstruction! 🔄 In this video, we use BFS + parent tracking to reconstruct the actual path from source to destination. Perfect for interviews and competitive programming! 💡
🔍 Key Concepts Covered: Adjacency list creation BFS traversal Parent mapping Path reconstruction from destination to source
📚 Code Snippet (Python) from collections import deque, defaultdict
def shortest_path(edges, n, m, s, t): adj = defaultdict(list) for u, v in edges: adj[u].append(v) adj[v].append(u)
while q: front = q.popleft() for neighbor in adj[front]: if not visited.get(neighbor, False): visited[neighbor] = True parent[neighbor] = front q.append(neighbor)
ans = [t] current_node = t while current_node != s: current_node = parent[current_node] ans.append(current_node) ans.reverse() return ans 🎯 Ideal for: Beginners to Intermediate | Graph Theory | Interview Prep
👇 Drop your questions in the comments and don’t forget to like & subscribe!
CodeNakshatra
🚀 Learn How to Find the Shortest Path in a Graph with Path Reconstruction! 🔄
In this video, we use BFS + parent tracking to reconstruct the actual path from source to destination. Perfect for interviews and competitive programming! 💡
🔍 Key Concepts Covered:
Adjacency list creation
BFS traversal
Parent mapping
Path reconstruction from destination to source
📚 Code Snippet (Python)
from collections import deque, defaultdict
def shortest_path(edges, n, m, s, t):
adj = defaultdict(list)
for u, v in edges:
adj[u].append(v)
adj[v].append(u)
visited = {}
parent = {}
q = deque([s])
visited[s] = True
parent[s] = -1
while q:
front = q.popleft()
for neighbor in adj[front]:
if not visited.get(neighbor, False):
visited[neighbor] = True
parent[neighbor] = front
q.append(neighbor)
ans = [t]
current_node = t
while current_node != s:
current_node = parent[current_node]
ans.append(current_node)
ans.reverse()
return ans
🎯 Ideal for: Beginners to Intermediate | Graph Theory | Interview Prep
👇 Drop your questions in the comments and don’t forget to like & subscribe!
🔥 Hashtags:
#GraphTheory #ShortestPath #BFS #PythonCode #CompetitiveProgramming #PathReconstruction #CodingInterview #DataStructures #Algorithms #Python #LearnToCode #OatsAurCode
7 months ago | [YT] | 0