Build a Maze Solver in Python
Build a visual interface that draws, solves, and animates a maze in Python. Visualize all the algorithms you've learned.
Author
Lane Wagner
Lane is a back-end engineer and the lead instructor of Boot.dev. He has taught over one million students worldwide, on Boot.dev, FreeCodeCamp, YouTube and the Backend Banter podcast. Lane worked as a backend engineer writing Go, Python and TypeScript, then moved into engineering management and a couple of years later left to build Boot.dev full-time.
Allan
Maintainer
Matt
Maintainer
Dan
Maintainer
Hunter
Maintainer
10 Hours
of content
13 Addicting
lessons
Earn a certificate
of completion
Learn online
at your pace
What will you learn?
Use Python and Tkinter to build a GUI that solves mazes. You'll be writing code that draws a randomized maze and then systematically solves it. You will use your knowledge of algorithms to automate this fun game! This is a fantastic way to build another real project and solidify your algorithmic skills.
Chapter List
Join 959 students in the Build a Maze Solver in Python course
Read reviews of their learning experiences
This lesson exceeded my expectations. I went in thinking I knew the basics, but the deeper dives into trade-offs and edge cases were exactly what I needed. The instructor didn’t just show ‘happy path’ solutions: they demonstrated how to think about failure modes, performance bottlenecks, and future extensibility. The capstone project, while optional, gave me the perfect sandbox to experiment and get feedback.
Nala
Germany
Challenging but rewarding.
Katy Senia
Tampa, FL
I appreciated how the instructor broke down the core concepts into digestible steps. The examples were practical and mirrored what I encounter in my day-to-day work. In particular, the section on error handling and observability tied everything together. If I had a minor nitpick, it would be that the pacing sped up in the last module, but the accompanying notes and code samples made it easy to revisit and cement the ideas.
Aftab Alam
Sector 104, Noida, India
Helpful examples and explanations.
James Heffernan
Maine, United States
Solid overview with just enough depth to be practical.
Erik Castricum
Castricum // Holland
The real-world context made the concepts click for me.
Daniel Vasquez
State College PA, USA
This lesson exceeded my expectations. I went in thinking I knew the basics, but the deeper dives into trade-offs and edge cases were exactly what I needed. The instructor didn’t just show ‘happy path’ solutions: they demonstrated how to think about failure modes, performance bottlenecks, and future extensibility. The capstone project, while optional, gave me the perfect sandbox to experiment and get feedback.
nkwuda theophilus onyebuchi
Lagos, Nigeria
Appreciated the tips on common pitfalls and debugging.
Dave Thackeray
Manchester
Loved the pacing and depth.
Madhvi Patel
Stockholm Sweden
Showing 1-9 of 10
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