Solve Rubik's Cube in less than 20 moves on average with Python
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This project implements the two-phase-algorithm in its fully developed form to solve Rubik's cube in Python. Though Python is much slower than for example C++ or even Java the implementation is sufficiently fast to solve random cubes in less than 20 moves on average on slow hardware like the Raspberry Pi3 within a few seconds.

If you just want to solve Rubik's cube and play around with its patterns Cube Explorer may be the better choice. But if you want to get a better understanding of the two-phase-algorithm details, you work on a project to build a cube solving robot or you write software for an NxNxN cube and use the reduction method this may be the right place to look.


There are several tables which must be created on the first run. These need about 80 MB disk space and it takes from about 1/2 to 6 hours to create them, depending on the hardware. Usually you start the cubesolving server which listens on a port of your choice and which accepts the cube definition string and returns the solving maneuver. The module gives detailed examples how to start the server and a simple GUI-interface which interacts with the server. You can run the example file with

"python" or eventually "python3"

Make sure that you use Python 3.4 or higher and you have the numpy package installed.