Mathematical Modeling in Python

Inspired by Giordano’s A First Course in Mathematical Modeling.

This repository contains Jupyter notebooks focused on practical, hands-on exploration of difference equations. Each notebook is organized by topic (e.g., population growth, finance, basic dynamical systems), and provides:

• Clean, well-commented Python code
• Editable parameter values for experimentation
• Automatic graphs to visualize model behavior

There are no long theory sections—just code and interactive plots designed for direct exploration.

Usage

1. Clone the repository:

   git clone https://github.com/coderprogram/Applied-Math-Modelling.git
   cd your-repo
   

2. Install dependencies:

   pip install numpy matplotlib pandas
   

3. Launch Jupyter and open the notebooks:

   jupyter notebook
   

   or

   jupyter lab
   

Contributions

Contributions and suggestions are welcome.