/Yahtzee-Multiplayer-Game-Analysis

A comprehensive Python-based implementation of the Yahtzee game, featuring interactive multiplayer capabilities, advanced statistical analysis, and robust user input validation. This repository serves as a showcase for high-level programming practices, data manipulation, and probabilistic modeling techniques in Python.

Primary LanguagePythonMIT LicenseMIT

Yahtzee Multiplayer Game Analysis

Table of Contents

  1. Table of Contents
  2. Introduction
  3. Technologies
  4. Features
  5. Installation
  6. Usage
  7. Statistical Analysis
  8. Contributing
  9. License
  10. Acknowledgments
  11. Future Work
  12. Known Issues
  13. Frequently Asked Questions

Introduction

The Yahtzee Multiplayer Game Analysis repository is an academic endeavor to build an efficient, robust, and interactive Yahtzee game in Python. It not only allows for multiplayer interaction but also includes statistical tools for analyzing gameplay. The project was developed using high-level programming constructs, adhering to PEP 8 standards, and implementing advanced data structures and algorithms for optimal performance.

Technologies

  • Python 3.8+
  • NumPy for statistical analysis
  • Pytest for unit testing

Features

  • Multiplayer Interaction: Allows multiple players to play interactively.
  • Robust Input Validation: Utilizes Python’s typing module for strong type checking.
  • Statistical Analysis: Includes a comprehensive suite of statistical tools to analyze gameplay, leveraging Python’s NumPy library.
  • Code Extensibility: Designed with modularity and extensibility in mind, facilitating future additions and improvements.

Installation

To install the game and its dependencies, follow these steps:

  1. Clone the repository

    git clone https://github.com/EricSoderquist/Yahtzee-Multiplayer-Game-Analysis.git

  2. Navigate to the project directory

    cd Yahtzee-Multiplayer-Game-Analysis

  3. Install required packages

    pip install -r requirements.txt

Usage

To run the game, execute the following command:

python yahtzee.py

Statistical Analysis

The project includes a variety of statistical tools for analyzing gameplay. Utilizing NumPy, the statistical analysis features include but are not limited to:

  • Calculating average scores
  • Variance and standard deviation of scores
  • Probability distributions of different types of rolls

Contributing

Contributions are welcome.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • The University of Illinois Urbana-Champaign for providing an academic atmosphere conducive to high-level research and development.
  • Authored by Eric Soderquist.

Future Work

  • Implementing machine learning algorithms for predictive analysis of game outcomes.
  • Adding a graphical user interface (GUI) for an enhanced user experience.

Known Issues

  • No known issues at the moment. Please report any bugs through the GitHub issues tracker.

Frequently Asked Questions

Is this project open to contributions from beginners?

Yes, contributors at all levels are welcome.

Who do I contact for more information?

For more information, please contact Eric Soderquist.