Graph Theory for Software Engineers

## Topics Covered Bridge the gap between academic graph theory and practical engineering: - Graph data structures in production code - Traversal algorithms: BFS, DFS, Dijkstra - Network flow and connectivity - Graph databases vs. relational databases - Scaling graph computations - Real-world use cases: social networks, routing, recommendations Transform your approach to complex problems by understanding graph-based solutions.