A collection of numerical and computational physics exercises, covering topics in simulation, numerical methods, and computational physics — all implemented in Python.
This repository contains solutions and explorations of problems drawn from computational and numerical physics. The exercises range from textbook problems — such as those found in Mathematical Methods using Python: Applications in Physics and Engineering — to smaller, self-contained ideas that emerge while working through the material.
All implementations are written in Python and organized as Jupyter Notebooks for clarity and reproducibility.
├── Mathematical Methods using Python Applications in Physics and Engineering/
│ └── # Exercises and solutions from the referenced textbook
├── LICENSE
└── README.md
- Python 3.x
- Jupyter Notebook
This project is licensed under the MIT License. See the LICENSE file for details.