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Sudoku Maker is a generator for Sudoku number puzzles. It uses a genetic algorithm internally, so it can serve as an introduction to genetic algorithms. The generated Sudokus are usually very hard to solve -- good for getting rid of a Sudoku addiction.
Play and solve sudoku puzzles. Start from an empty grid, generate a puzzle or load one. The game is timed. The generated puzzles have a unique solution. Mistakes (twice the same number on the line / column / row) are highlighted in red.
GCompris is a high quality educational software suite comprising of numerous activities for children aged 2 to 10. Some of the activities are game oriented, but nonetheless still educational.
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PythonSudoku is a text and graphical (gtk interface) program to create or resolve sudokus. It can also print a sudoku (1 or 4 sudokus in each page) and write an image (png, jpeg, etc) with a sudoku.
Sudoku solver written in Python using the TkInter library. Handles various puzzle sizes and allows for both letters and numbers. If you don't have Python installed you can get it at http://www.python.org/download/
Sudoku solver written in Python using the TkInter library. Handles various puzzle sizes and allows for both letters and numbers. This project site is not active, please visit http://sourceforge.net/projects/tkpysudoku/
GNOME Sudoku is a GNOME-based puzzle game. GNOME Sudoku is now developed as part of the gnome-games package hosted at www.gnome.org/projects/gnome-games/
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A multiplatform python- and ncurses-based console game of Sudoku. Sudoku is capable of generating and solving both Sudoku and Samurai Sudoku puzzles on any ncurses-enabled terminal.
PythonSudoku is a text and graphical program (gtk interface) to create or resolve sudokus. It can also print a sudoku (1 or 4 sudokus in each page) and write a image (png, jpeg, etc) with a sudoku.
A Pythonic program to generate and solve a Sudoku puzzle of any N by N dimension. It uses a combination of logic and guess to solve the puzzle. The GUI is written with PyGTK and the code can be use as a guidelines of using Python Generators.