Dijkstra's algorithm is a graph traversal algorithm that finds the shortest path between nodes in a graph. It's like the Google Maps of algorithms, always finding the quickest route from A to B, even if it has to go through the sketchy part of town.

How to use it in a sentence

• I was trying to find the shortest path through the legacy codebase, but it was like navigating a maze designed by M.C. Escher - I should have just used Dijkstra's algorithm instead of relying on my intuition and a bottle of whiskey.

• When the PM asked why I was taking so long to implement the new feature, I told them I was using Dijkstra's algorithm to optimize the code paths - in reality, I was just refactoring my spaghetti code into slightly neater spaghetti.

If you actually want to learn more...

• Dijkstra's algorithm explained with examples - This FreeCodeCamp article provides a clear explanation of how Dijkstra's algorithm works, complete with examples and illustrations.

• Dijkstra's Shortest Path Algorithm | Graph Theory - GeeksforGeeks offers a more technical deep dive into the algorithm, discussing its time complexity and providing pseudocode implementations.

• Dijkstra's algorithm in Python - For those who prefer to learn by doing, this Udacity article walks through implementing Dijkstra's algorithm in Python, step by step.

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