The Quick Guide to Dijkstra’s Algorithm explains one of the most widely used algorithms in computer science for finding the shortest path in a graph. The guide covers how Dijkstra’s Algorithm systematically selects the least costly path from a starting point to all other nodes, making it essential for navigation, logistics, networking, and more. Readers are introduced to key concepts like graphs, weights, and priority queues, and then shown how the algorithm works step by step with practical examples.
The guide is written by Jim Markus, who manages Hackr.io and a portfolio of sites at VentureKite. With a background in data analysis and communication, along with hosting experience on the Frugal Living podcast, Jim focuses on breaking down complex technical concepts into accessible lessons. His writing helps readers quickly grasp both the theory and application of foundational computer science algorithms.
Dijkstra’s Algorithm is a greedy shortest path algorithm used on weighted, undirected or directed graphs with non-negative edge weights. It efficiently finds the least costly path from a starting node to all other nodes by using a priority queue to always process the closest unvisited node next. This guarantees optimal results in scenarios like GPS route planning, internet data routing, and logistics optimization, making it one of the most practical and marketable algorithms for developers and engineers to learn.