Life Of Cells - Simulation (Conway's Game of Life)

This is a simple implementation of Conway's Game of Life using the pygame library in Python.

Description

Conway's Game of Life is a cellular automaton devised by mathematician John Conway. It is a zero-player game, meaning its evolution is determined by its initial state, with no further input required. The game consists of a grid of cells, each of which can be either alive or dead. The game evolves in steps based on a set of rules:

• Any live cell with fewer than two live neighbors dies (underpopulation).
• Any live cell with two or three live neighbors survives.
• Any live cell with more than three live neighbors dies (overpopulation).
• Any dead cell with exactly three live neighbors becomes a live cell (reproduction).

Features

• Click on cells to toggle their state between alive and dead.
• Press the spacebar to start or pause the simulation.
• Press c to clear the grid and reset it to a random initial state.
• Press g to generate a random pattern of living cells on the grid.

Requirements

• Python 3
• Pygame library

Usage

1. Clone this repository to your local machine:

   git clone https://github.com/mirankavinda/Life-Of-Cells-Simulation.git
   

2. Navigate to the project directory: cd game-of-life

3. Install the required dependencies (Pygame): pip install pygame

4. Run the simulation: python life-of-cells.py

Controls

• Left Mouse Button: Toggle the state of individual cells (alive/dead).

• Spacebar: Start or pause the simulation.

• c Key: Clear the grid and reset it to a random initial state.

• g Key: Generate a random pattern of living cells on the grid.

Credits

• The Game of Life rules were devised by John Conway.

• Special thanks to TechwithTim for their tutorial on John Conway's Game of Life using Python and Pygame, which served as an inspiration for this project.