This is the procedural version of a sudoku solver I developed for the Insight Data Engineering Fellows Program.
The solver algorithm is based on the recursive backtracking algorithm described in [1].
In sudokus_for_testing directory there are sudokus of different complexity levels for testing the application.
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NumPy. As described in their web "NumPy is the fundamental package for scientific computing with Python".
It can be downloaded from [2].
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Matplotlib.
It is described as "python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms".
It can be downloaded from [3].
>>> python sudokuSolver.py E:/sudokus_for_testing/fiendish.csv E:/sudokus_for_testing/sudokuOUT.csv This is the given sudoku: 006|504|800 017|900|020 900|030|065 ---+---+--- 800|060|092 003|709|600 620|010|003 ---+---+--- 180|050|007 060|003|240 002|807|100 Please, wait while solving ... Solving process already done Presione una tecla para continuar . . . This is the solved sudoku: 236|574|819 517|986|324 948|231|765 ---+---+--- 871|365|492 453|729|681 629|418|573 ---+---+--- 184|652|937 765|193|248 392|847|156 Presione una tecla para continuar . . . Saving in E:/sudokus_for_testing/sudokuOUT.csv ... Complete >>>