Pi Approximation Algorithms

This project contains a collection of Python implementations for approximating $\pi$ using different mathematical methods, including Chudnovsky, Machin-like formulas, Leibniz, Borwein, and more.

Features

• Multiple Pi approximation algorithms in separate Python files
• A central launcher to choose and run methods interactively
• Optimized implementations that preserve the original mathematical logic
• Simple test coverage for selected algorithms

How to Run

1. Open the project folder.
2. Run the launcher:

python Pi_approximation_algorithm.py

3. Choose a method from the menu.

Project Structure

• Pi_approximation_algorithm.py – interactive menu to run algorithms
• *.py – individual Pi approximation implementations
• tests/ – basic regression tests for optimized methods

Requirements

• Python 3.x

License

This project is provided for educational purposes.