Traverse a graph by exploring as deep as possible before backtracking. Write DFS with a stack.
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Initialize
Stack Loop
Explore Neighbors
Return Result
Step 1 of 7 · Initialize
Create three variables: an empty visited list, a stack list containing just the start node, and an empty seen set
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defdfs(graph, start):# Return a list of nodes in DFS order# graph is a dict mapping each node to its list of neighbors# Example: { 'A': ['B', 'C'], 'B': ['D'], 'C': [], 'D': [] }# Access neighbors with: graph[node] or graph.get(node, [])pass