Maze Generation with the Growing Tree Algorithm

Maze generation is a classic problem in computer science and game development, but many standard algorithms produce predictable patterns. The Growing Tree algorithm offers a highly flexible solution, allowing you to generate completely different maze styles simply by changing how you select active cells. In this text-only course, you will transition from understanding basic grid mathematics to implementing a fully functional, customizable maze generator. You will learn how to manipulate data structures, control path winding, and write clean, structured code to produce unique maze layouts. What you'll learn: - Understand the core concepts of grid representation, cell states, and active lists. - Implement the foundational steps of the Growing Tree algorithm from scratch. - Configure different cell-selection strategies, including random, oldest, newest, and weighted choices. - Analyze how different selection criteria affect the texture, bias, and flow of the generated maze. - Apply clean code principles, proper data structures, and type hinting to keep your algorithm efficient and readable. We start with the essential terminology and foundational grid concepts before moving step-by-step through the algorithm's core logic. You will then explore how to tweak the selection mechanics to generate distinct maze types, practicing through written explanations and structured code snippets. This course is designed for beginner programmers, game developers, and hobbyists interested in procedural generation. No advanced math or complex algorithm experience is required. Start reading today to unlock the power of procedural maze generation in your projects.