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https://github.com/ranagaballah/connectfour_python_with_gui

USing Pygame
https://github.com/ranagaballah/connectfour_python_with_gui

connect-four gui minimax-algorithm minimax-alpha-beta-pruning pygame python

Last synced: 11 months ago
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USing Pygame

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README

          

Certainly! Here's an example of a README file for the ConnectFour_Python_With_GUI repository:

# Connect Four Python Game with GUI

This repository contains a Connect Four game implemented in Python with a graphical user interface (GUI).

## Features

- Play Connect Four against a computer opponent.
- Interactive GUI for an intuitive gaming experience.
- Customizable difficulty levels.
- Win detection and game over condition.
- Simple and clean user interface.

## Getting Started

### Prerequisites

- Python 3.x
- numpy library
- pygame library

### library Installation

```
pip install numpy
```

```
pip install pygame
```

### Installation

1. Clone the repository:

```
git clone https://github.com/RanaGaballah/ConnectFour_Python_With_GUI.git
```

2. Navigate to the project directory:

```
cd ConnectFour_Python_With_GUI
```

### Usage

Run the `connect_four.py` file to start the game:

```
python connect_four.py
```

Follow the on-screen instructions to play the game. Use the mouse to select a column for your move.

### Game Rules

- The objective of the game is to connect four of your own pieces in a row, column, or diagonal before your opponent does.
- Players take turns dropping their colored discs into a grid.
- The discs will fall down to the lowest available position within the selected column.
- The game continues until one player wins or the board is full (resulting in a draw).

## Contributing

Contributions to this project are welcome. Here are a few ways you can contribute:

- Report bugs or suggest improvements by opening a GitHub issue.
- Fork the repository and submit a pull request with your enhancements.
- Share the game and give it a star if you find it useful.

## License

This project is licensed under the [MIT License](LICENSE).

## Acknowledgments

- The game logic and AI algorithm are based on the work of [Rana Gaballah](https://github.com/RanaGaballah).
- Special thanks to the creators and maintainers of the Tkinter library for providing a simple and powerful GUI toolkit for Python.