Graph Algorithms: Basics

This lecture covers the fundamentals of graph algorithms, including graph traversal, graph representation, and data structures for breadth-first search (BFS) and depth-first search (DFS). It explains the concepts of vertices, edges, directed and weighted graphs, adjacency matrix, and adjacency lists. The instructor discusses the iterative and recursive versions of DFS and BFS, highlighting the differences in their implementations. Additionally, the lecture explores the use of stacks and queues in Python for graph traversal algorithms, emphasizing the importance of choosing the right data structure for efficient operations.