A beginner-friendly guide explaining graph concepts, types, and implementations in Python, with a focus on common interview problems and their solutions. The article provides detailed Python code exam
ples for fundamental graph algorithms like BFS, DFS, and Dijkstra's algorithm, along with practical tips for interview preparation.
Reasons to Read -- Learn:
how to implement three essential graph algorithms (BFS, DFS, and Dijkstra's) in Python with detailed, ready-to-use code examples that you can apply in your interviews
practical differences between graph representations (adjacency list vs. adjacency matrix) and when to use each for optimal performance in different scenarios
how to approach five specific types of graph problems commonly asked in Python interviews: traversal, shortest path, cycle detection, connected components, and topological sorting
publisher: @vanshbuddy11
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