Conway's Game of Life Simulation

This is a Python implementation of Conway's Game of Life using the PyGame library. The Game of Life is a zero-player game, meaning that its evolution is determined by its initial state, requiring no further input. The game consists of a grid of cells that evolve over time according to simple rules.

Features

• The grid size is 1600x900 pixels with each cell measuring 20x20 pixels.
• The simulation follows the classic Game of Life rules:
  • Any live cell with fewer than two live neighbors dies (underpopulation).
  • Any live cell with two or three live neighbors lives on to the next generation.
  • Any live cell with more than three live neighbors dies (overpopulation).
  • Any dead cell with exactly three live neighbors becomes a live cell (reproduction).
• You can manually activate or deactivate cells by clicking with the mouse:
  • Left-click to activate a cell.
  • Right-click to deactivate a cell.
• The simulation can be paused and resumed by pressing the SPACE key.
• Press q to quit the simulation.

Installation

Prerequisites

Make sure you have Python 3 installed on your system. You will also need to install the following libraries:

• pygame
• numpy

You can install the necessary dependencies by running:

pip install pygame numpy

Virtual Environment (Optional but Recommended)

To avoid conflicts with other projects, it's a good idea to use a virtual environment:

python3 -m venv life_env
source life_env/bin/activate  # On Windows use: life_env\Scripts\activate
pip install pygame numpy

Usage

1. Clone the repository:

git clone https://github.com/guloff/gameoflife.git
cd gameoflife

2. Run the game:

python3 game_of_life.py

Controls

• SPACE: Pause/Resume the simulation.
• Left-click: Activate a cell.
• Right-click: Deactivate a cell.
• q: Quit the simulation.

License

This project is licensed under the GNU General Public License v3.0. See the LICENSE file for more details.