The Bellman-Ford algorithm is a cornerstone of graph theory, enabling the discovery of the shortest paths from a single source vertex to all other vertices in a weighted graph. This blog delves into the intricacies of the algorithm, its implementation, and its applications in real-world scenarios. We explore its advantages over other algorithms, particularly in handling negative weight edges, and provide clear code examples to illustrate its functionality. Join us as we traverse the landscape of data structures and algorithms, unlocking the potential of the Bellman-Ford algorithm.