Computational Physics with Python using Jupyter Notebooks ⚛️

This repository is a collection of physics problems solutions using Jupyter Notebooks that I was working on them during my degree in Physics Engineering.

Table of Contents

The repository is divided into the following folders:

• Classical Mechanics ~ Problems related to classical mechanics (Newtonian mechanics, Lagrangian mechanics, Hamiltonian mechanics, etc.)
• Classical Electrodynamics ~ Problems related to classical electrodynamics (Maxwell's equations, etc.)
• Quantum Mechanics ~ Problems related to quantum mechanics (Schrödinger equation, etc.)
• Thermodynamics ~ Problems related to thermodynamics (Laws of thermodynamics, etc.)
• Dynamical Systems ~ Problems related to dynamical systems (Chaos theory, etc.)

Requirements

• Python 3.6 or higher

I recommend using Anaconda to install all the requirements. You can download Anaconda from here. Or create a virtual environment using virtualenv.

Using Anaconda

You can create a new environment using the following commands:

conda create --name py_physics python=3.8
conda activate py_physics
conda install -c conda-forge notebook

Using virtualenv

First, you need to install virtualenv using the following command:

pip install virtualenv

Then, you can create a new environment using the following commands:

virtualenv py_physics
source py_physics/bin/activate
pip install notebook

Libraries needed

• Jupyter Notebook
• Numpy
• Matplotlib
• Scipy
• Sympy
• Sklearn
• Numba

Installation

You can install all the requirements using the following command:

pip install -r requirements.txt

Usage

You can run the notebooks using the following command:

jupyter notebook

References

This repository contains some techniques based on the YouTube channel Mr. P Solver

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.