Graphs — BFS & DFS — Free DSA Tutorial
Learn Graphs — BFS & DFS in DSA with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Graphs — BFS & DFS in DSA with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
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Graphs — BFS & DFS in DSA
A graph is a set of nodes (vertices) connected by edges. It models roads, social networks, web links and dependencies. We usually store it as an adjacency list (a dict of node → list of neighbours). Graphs can be directed or undirected, weighted or unweighted.
Two core traversals: Breadth-First Search (BFS) explores level by level using a queue — it finds the shortest path in an unweighted graph. Depth-First Search (DFS) goes as deep as possible using recursion or a stack — great for cycle detection, topological sort and connected components. Both are O(V + E).
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