Pi approximations calculated using infinite series and Monte Carlo methods

Interactive web app:

Installation and usage

1. clone the repo
2. create a virtual environment
3. activate the virtual environment
4. install dependencies with requirements.txt
5. use the code and/or run a local Streamlit app

git clone git@github.com:chicolucio/pi-approximations.git
cd pi-approximations
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
streamlit run Home.py

These are the Python packages under the hood:

The web app is hosted on

Contributing

All contributions are welcome.

Issues

Feel free to submit issues regarding:

• recommendations
• more interactive visualizations
• enhancement requests and new useful features
• code bugs

Pull requests

• before starting to work on your pull request, please submit an issue first
• fork the repo
• clone the project to your own machine
• commit changes to your own branch
• push your work back up to your fork
• submit a pull request so that your changes can be reviewed

License

MIT, see LICENSE

Citing

If you use this project in a scientific publication or in classes, please consider citing as

F. L. S. Bustamante, Pi approximations, 2022 - Available at: https://github.com/chicolucio/pi-approximations

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