A Python sudoku solver built with Qt.
Explore the docs »
Report Bug
·
Request Feature
Table of Contents
The goal of this project is to build an application to solve a user defined sudoku problem using CSP (Constraint Satisfaction Problems).
This project is based on Python. No framework is needed, but you must install the PySide6 package. We strongly suggest your to create a virtual environment to create the app environment. You can also use the Dockerfile to use with Docker.
Before clonning the repository, you should create a new virtual environment (using venv for exemple).
- Clone the project
git clone https://github.com/killian-mahe/sudoku-csp.git
- Install virtual environment
cd sudoku-csp && python3 -m venv env
- Activate the new environment
source env/bin/activate - Install required packages
pip3 install -r requirements.txt
- Start the project
python sudoku_csp
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE for more information.
Killian Mahé - @killian-mahe - [email protected]
Project Link: https://github.com/killian-mahe/sudoku-csp