Metadata-Version: 2.1
Name: jokettt
Version: 0.0.1
Summary: A Tic Tac Toe game developed by joke
Home-page: https://github.com/fpiantini/jokettt
Author: Francesco Piantini
Author-email: francesco.piantini@gmail.com
License: UNKNOWN
Description: # JokeTTT: a Tic Tac Toe game developed by joke
        
        JokeTTT is a tic tac toe game developed just for fun and to learn Python and some concepts of machine learning.
        
        ## Project setup
        
        The project has been tested only with python3 on Ubuntu Linux. If you have python3 installed in your machine, just try the code entering the command:
        
        ```bash
        ./play.py
        ```
        
        To avoid the usual problems with messy Python configurations (python 2 vs. 3, packages to install, etc.), conda is used for development.
        
        For those that wants to do the same and does not know conda, this is a a quick reference:
        
        - [TDHopper article on python environment with conda]
        - [Get your computer ready for machine learning using *conda]
        
        If you have conda installed, enter the project directory (the one with the environment.yml file) and enter the following command:
        
        ```bash
        conda env create
        ```
        
        This shall be done only the one time. After this the ```jokettt``` conda environment is created. It can be activated with the command:
        
        ```bash
        conda activate jokettt
        ```
        
        To update the conda environment every time that the ```environment.yml``` is changed, enter the command:
        
        ```bash
        conda env update
        ```
        
        ## Credits
        
        - A.L. Aradhya [Minimax introduction article] (and all the following) in geeksforgeeks.org for implementation of the minimax player
        - T. Simonini "[An introduction to reinforcement learning]" for introduction theory on value function and for directing me to the Sutton and Barto book.
        
        [TDHopper article on python environment with conda]: https://tdhopper.com/blog/my-python-environment-workflow-with-conda/
        [Get your computer ready for machine learning using *conda]: https://towardsdatascience.com/get-your-computer-ready-for-machine-learning-how-what-and-why-you-should-use-anaconda-miniconda-d213444f36d6
        [Minimax introduction article]: https://www.geeksforgeeks.org/minimax-algorithm-in-game-theory-set-1-introduction/
        [An introduction to reinforcement learning]: https://medium.com/free-code-camp/an-introduction-to-reinforcement-learning-4339519de419
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.6
Description-Content-Type: text/markdown
