https://github.com/chicolucio/pi-approximations

Pi approximations calculated using infinite series and Monte Carlo methods
https://github.com/chicolucio/pi-approximations

calculus heroku heroku-deployment pi pi-approximation pi-calculus plotly streamlit streamlit-webapp

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Pi approximations calculated using infinite series and Monte Carlo methods

• Host: GitHub
• URL: https://github.com/chicolucio/pi-approximations
• Owner: chicolucio
• License: mit
• Created: 2022-08-12T02:03:15.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2022-08-17T12:06:21.000Z (almost 4 years ago)
• Last Synced: 2025-03-20T19:37:17.457Z (over 1 year ago)
• Topics: calculus, heroku, heroku-deployment, pi, pi-approximation, pi-calculus, plotly, streamlit, streamlit-webapp
• Language: Python
• Homepage: https://piapproximations.herokuapp.com/
• Size: 1.1 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

README

          
[![author](https://img.shields.io/badge/Author-Francisco Bustamante-red.svg)](https://www.linkedin.com/in/flsbustamante/)

[![](https://img.shields.io/badge/Python-3.8+-blue.svg)](https://www.python.org/)

[![MIT license](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

[![contributions welcome](https://img.shields.io/badge/Contributions-Welcome-brightgreen.svg?style=flat)](https://github.com/chicolucio/pi-approximations/issues)

[![Heroku](https://img.shields.io/badge/Heroku-430098.svg?style=plastic&logo=Heroku&logoColor=white)](https://piapproximations.herokuapp.com/)

[![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B.svg?style=plastic&logo=streamlit&logoColor=white)](https://piapproximations.herokuapp.com/)

> 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`](requirements.txt)

5. use the code and/or run a local Streamlit app

```bash

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:

![NumPy](https://img.shields.io/badge/NumPy-%23013243.svg?style=plastic&logo=numpy&logoColor=white)

![Matplotlib](https://img.shields.io/badge/Matplotlib-3670A0.svg?style=plastic&logo=&logoColor=white)

![Plotly](https://img.shields.io/badge/Plotly-%233F4F75.svg?style=plastic&logo=plotly&logoColor=white)

![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B.svg?style=plastic&logo=streamlit&logoColor=white)

The web app is hosted on [![Heroku](https://img.shields.io/badge/Heroku-430098.svg?style=plastic&logo=Heroku&logoColor=white)](https://piapproximations.herokuapp.com/)

## 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](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

## More

- [LinkedIn](https://www.linkedin.com/in/flsbustamante/)

- [Portfolio](https://franciscobustamante.com.br/portfolio)

- [Curriculum Vitae](https://franciscobustamante.com.br/about/)