Graphs Explained Visually: BFS vs DFS — Which One and When (Animated)

A clear, beginner-friendly guide to graphs with Java + Python. Step-by-step animation: what a graph is (and how it differs from a tree), directed/undirected and weighted/unweighted, adjacency list vs matrix, the visited set, BFS, DFS, when to use each, weighted shortest paths with Dijkstra's algorithm (powered by the priority queue from the last episode), the complexity table, and real-world uses. CHAPTERS: 0:00 Intro — graphs are everywhere 0:41 What is a graph (vs a tree) 1:21 Directed, weighted, cyclic 1:58 Two ways to store a graph 2:37 Traversal & the visited set 3:18 BFS — explore in layers 3:52 DFS — go deep, backtrack 4:36 BFS vs DFS — which when 5:05 Weighted paths break BFS 5:34 Dijkstra — greedy + a heap 6:22 Dijkstra walkthrough 6:59 Complexity 7:34 Where graphs show up 8:06 Code (Java & Python) 8:36 Key takeaways