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Graph theory is a field of mathematics that deals with graphs, which are mathematical structures representing relationships between entities. In computer science, graphs are widely used to model various real-world scenarios, such as social networks, transportation systems, and communication networks.
In this tutorial, we will explore some fundamental graph theory algorithms using Python. We'll cover the following algorithms:
Let's get started!
BFS is a graph traversal algorithm that explores all the vertices at the current level before moving on to the next level.
DFS explores as far as possible along each branch before backtracking.
Dijkstra's algorithm finds the shortest path between two vertices in a weighted graph.
Kruskal's algorithm finds the minimum spanning tree of a connected, undirected graph.
These are just a few basic graph algorithms in Python. Depending on your needs, you may encounter more advanced algorithms and data structures related to graph theory. Happy coding!
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