BFS vs DFS: Why the First Path Isn't Always the Shortest

Why can one search algorithm find the shortest path while another reaches the same destination through a much longer route? In this visual explanation, we put Breadth-First Search (BFS) and Depth-First Search (DFS) through the exact same graph. Watch how their different exploration strategies lead to different paths. You'll discover: How BFS explores a graph layer by layer. How DFS follows a branch and backtracks. Why BFS guarantees the shortest path in an unweighted graph, while DFS does not. How queues, stacks, and recursion control the search. How both algorithms work in Python. Their time and space complexity, explained visually. Why weighted graphs may require algorithms such as Dijkstra's. The key difference isn't which algorithm is smarter. It's how each one chooses what to explore next. Subscribe to Awashyak for cinematic visual explanations of algorithms, data structures, and computer science. #BFS #DFS #Algorithms #GraphTheory #ComputerScience #Programming #Python #Manim