Computational Physics with Python

This repository is a collection of Python code and Jupyter notebooks covering a range of topics in computational physics. It aims to provide practical implementations of basic Python, basic statistical mechanics, classical mechanics, and quantum mechanics concepts using Python.

Table of Contents

1. Basic Python Concepts

   • Introduction to Python programming language.
   • Data types, loops, conditional statements, and functions.
   • Working with arrays and basic plotting.

2. Basic Statistical Mechanics

   • 2-D Ising Model
   • Central Limit Theorem
   • Estimation of Pi Using Monte Carlo
   • Biased Vs Unbiased Random Walk
   • Mosquito Random Walk

3. Classical Mechanics

   • Solving classical mechanics problems using numerical methods.
   • Implementations of algorithms for solving differential equations.
   • Orbital mechanics and celestial motion.

4. Quantum Mechanics

   • Introduction to quantum mechanics concepts.
   • Implementations of quantum algorithms and simulations.
   • Quantum harmonic oscillator and hydrogen atom.

Usage

Each section contains Python code and Jupyter notebooks explaining the concepts. Simply navigate to the respective folders and explore the notebooks.

Happy coding and exploring computational physics with Python!