How To Write a Rubik’s Cube Solver
summary
Library implemented in Python notebooks that visualizes scrambles, manipulates move sequences, and solves CFOP subproblems; pieces are numbered so corners edges and core each map to 24 states and position+orientation encode into a single state number, enabling fast indexing of OLL/PLL cases. A brute-force with cost pruning search and dynamic-style cost function finds optimal small-step solutions (6‑move crosses shown) but Python memory overhead is high; full CFOP pipeline and teaching visuals work well.
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chapters (11)
- 0:00Introduction
- 3:14Standard cube depictions
- 13:37Scrambled cube representation
- 23:00Unsolvable cubes
- 28:09Failed cube representation
- 37:09Better cube state
- 48:25Total cube configurations
- 1:00:01Brute force with pruning
- 1:18:47Last layer PLL
- 1:25:48Full COP solver
- 1:29:28Q&A
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