We just published a new video on the freeCodeCamp.org YouTube channel that dives deep into Dijkstra's Algorithm. In this comprehensive guide, you will learn the fascinating history behind its creation and exactly how it works under the hood. Estafania created this video.

The course begins with the incredible origin story of the algorithm. Dijkstra famously designed the entire solution completely in his head without using a pencil or paper, a constraint that forced a brilliant simplicity into his ultimate design.

From there, you will explore how to translate the physical world of roads and cities into an abstract data structure. The video breaks down the core concepts of graphs, explaining how nodes represent locations, edges represent the paths between them, and weights represent distances or travel times.

Once the data structures are established, you will follow a step-by-step visual walkthrough to find the shortest path between a source node and a destination node. This section illustrates exactly why this approach is classified as a greedy algorithm, meaning it consistently selects the best possible option at each individual step.

Finally, you will put theory into practice with a complete Python implementation. You will learn how to represent a graph using an adjacency list and leverage a priority queue min-heap to efficiently track and visit nodes. By the end of the lesson, you will even build a backtracking function to recreate and print the exact optimal path.

You can watch the full video on the YouTube channel (22-minute watch).