Data structures - Graphs

In this video, we dive deep into **Graphs**, one of the most important data structures in computer science! 🚀
We cover:
What is a Graph?
Types of Graphs: Directed, Undirected, Weighted, Unweighted.
How to represent a graph using Adjacency Lists, Matrices, and Edge Lists in JavaScript.
Common Graph Traversal Algorithms: Depth-First Search (DFS) and Breadth-First Search (BFS).
Real-world applications of graphs (social networks, maps, etc.).
Whether you're a beginner looking to understand the fundamentals or an experienced programmer seeking a refresher, this video has something for you. Don't forget to subscribe for more data structure tutorials!
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Mentions:
**Vertices and Edges**: Learn about the building blocks of graphs.
**Graph Representation in JavaScript**: Different ways to represent graphs (adjacency list, matrix, and edge list).
**Graph Traversal**: Explore DFS and BFS algorithms to traverse graphs.
**Real-life Applications**: See how graphs model real-world problems like social networks and city maps.
**Interactive Coding Demos**: Watch how to represent and traverse graphs in JavaScript step-by-step.