Dijkstra's Algorithm: Solving Mazes with Pathfinding Code

Finding the shortest path through a maze is a classic computer science challenge with real-world applications in network routing, robotics, and game development. This text-based course guides you step-by-step from the fundamental concepts of graph theory to a fully working implementation of Dijkstra's algorithm. You will learn how to model a maze, track distances, and find the absolute shortest path using clean, modern code standards. What you'll learn: - Understand foundational graph theory concepts, including nodes, weighted edges, and adjacency lists. - Represent two-dimensional mazes as graph data structures using modern Python type hints and dataclasses. - Implement Dijkstra's algorithm from scratch to track distances and find optimal paths. - Optimize pathfinding efficiency using priority queues and binary min-heaps. - Analyze the time and space complexity of your algorithm to write performant code. - Format and output path solutions clearly using structured text-based console representations. Starting with core definitions and basic graph representations, this course gradually builds up to writing the complete algorithm and verifying its efficiency. This course is designed for beginner programmers and computer science students looking to master classic algorithms; basic familiarity with Python variables and loops is recommended, but no prior pathfinding experience is required. Start reading today to master one of the most famous algorithms in computer science.