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Explore key concepts in graph theory, including definitions, Eulerian and Hamiltonian graphs, planar graphs, traversal algorithms, and their real-world applications. Dive into illustrative examples, Python implementation tips, optimization use cases, and advanced research areas. Conclude with takeaways and future directions for studying graph theory.