state and then applying an optimal solver like Kociemba's. Below is an overview of the technical landscape for implementing this in Python using existing GitHub frameworks.
A four-phase approach. Less optimal but easier to extend to larger cubes. nxnxn rubik 39scube algorithm github python full
Finding and using a solution is no longer a niche task. Thanks to open-source projects like Rubik-NxNxN-Solver and PyRubikN , you can solve cubes up to N=20 in minutes on a standard laptop. state and then applying an optimal solver like Kociemba's
The most comprehensive library for this task is dwalton76/rubiks-cube-NxNxN-solver . : It has been verified to solve cubes up to . Performance : It solves a in ~9 moves and a in ~20 moves. nxnxn rubik 39scube algorithm github python full