GraphGamesPython

GraphGamesPython is a collection of three math-based games designed to help users practice and learn key mathematical concepts interactively. These games include a scatter plot game, an algebra practice game, and a projectile game. The project is implemented using Python and Jupyter Notebook.

Games Overview

1. Scatter Plot Game

Randomly generate points on a graph and the player has to input the (x,y) coordinates. For added difficulty, the graph can be larger.

• Objective: Identify the coordinates of randomly placed points on the graph.
• Features:
  • Random point generation.
  • User input for guessing coordinates.
  • Score tracking for multiple rounds.

2. Algebra Practice Game

Generate one-step and two-step problems with random integer values, and the player has to input the answer. Use positive and negative values. For added difficulty, the numbers can be larger.

• Objective: Solve algebraic equations.
• Features:
  • One-step and two-step algebra problems.
  • Random generation of integers for problems.
  • User input for answers and correctness checking.
  • Score tracking for multiple rounds.

3. Projectile Game

Display a "wall" with random height and location. The player has to move sliders to adjust a parabolic path to clear the wall. For added difficulty, players can enter a, b, and c without sliders.

• Objective: Determine the initial velocity required for a projectile to clear a wall.
• Features:
  • Random wall height and location generation.
  • Interactive sliders for adjusting projectile path parameters.
  • Visualization of projectile path and wall.
  • Score tracking based on successful attempts.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/GraphGamesPython.git

2. Change to the project directory:

   cd GraphGamesPython

3. Install the required packages:

   pip install -r requirements.txt

Usage

1. Open the Jupyter Notebook:

   jupyter notebook GraphGamesPython.ipynb

2. Run the notebook cells to play the games.

Contributing

Contributions are welcome! Please fork the repository and submit pull requests for any improvements or new features.

License

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

Acknowledgements

Special thanks to the creators of Python, Jupyter, and the various libraries used in this project.