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license](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)\n[![contributions welcome](https://img.shields.io/badge/Contributions-Welcome-brightgreen.svg?style=flat)](https://github.com/chicolucio/pi-approximations/issues)\n[![Heroku](https://img.shields.io/badge/Heroku-430098.svg?style=plastic\u0026logo=Heroku\u0026logoColor=white)](https://piapproximations.herokuapp.com/)\n[![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B.svg?style=plastic\u0026logo=streamlit\u0026logoColor=white)](https://piapproximations.herokuapp.com/)\n\n\u003e Pi approximations calculated using infinite series and Monte Carlo methods\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://github.com/chicolucio/pi-approximations/blob/master/pi_small.gif?raw=true\" alt=\"banner\"\u003e\n\u003c/p\u003e\n\nInteractive web app:\n\n\u003cp align=\"center\"\u003e\n\u003ca href=\"https://piapproximations.herokuapp.com/\" target=\"_blank\"\u003e\n\u003cimg src=\"https://img.shields.io/badge/-Streamlit%20app-FF4B4B?style=for-the-badge\u0026logo=Streamlit\u0026logoColor=white\" alt=\"streamlit app badge\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## Installation and usage\n\n1. clone the repo\n2. create a virtual environment\n3. activate the virtual environment\n4. install dependencies with [`requirements.txt`](requirements.txt)\n5. use the code and/or run a local Streamlit app\n\n```bash\ngit clone git@github.com:chicolucio/pi-approximations.git\ncd pi-approximations\npython -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\nstreamlit run Home.py\n```\n\nThese are the Python packages under the hood:\n\n![NumPy](https://img.shields.io/badge/NumPy-%23013243.svg?style=plastic\u0026logo=numpy\u0026logoColor=white)\n![Matplotlib](https://img.shields.io/badge/Matplotlib-3670A0.svg?style=plastic\u0026logo=\u0026logoColor=white)\n![Plotly](https://img.shields.io/badge/Plotly-%233F4F75.svg?style=plastic\u0026logo=plotly\u0026logoColor=white)\n![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B.svg?style=plastic\u0026logo=streamlit\u0026logoColor=white)\n\nThe web app is hosted on [![Heroku](https://img.shields.io/badge/Heroku-430098.svg?style=plastic\u0026logo=Heroku\u0026logoColor=white)](https://piapproximations.herokuapp.com/)\n\n## Contributing\n\nAll contributions are welcome.\n\n**Issues**\n\nFeel free to submit issues regarding:\n\n- recommendations\n- more interactive visualizations\n- enhancement requests and new useful features\n- code bugs\n\n**Pull requests**\n\n- before starting to work on your pull request, please submit an issue first\n- fork the repo\n- clone the project to your own machine\n- commit changes to your own branch\n- push your work back up to your fork\n- submit a pull request so that your changes can be reviewed\n\n## License\n\nMIT, see [LICENSE](LICENSE)\n\n## Citing\n\nIf you use this project in a scientific publication or in classes, please consider citing as\n\n\u003e F. L. S. Bustamante, Pi approximations, 2022 - Available at: https://github.com/chicolucio/pi-approximations\n\n## More\n\n- [LinkedIn](https://www.linkedin.com/in/flsbustamante/)\n- [Portfolio](https://franciscobustamante.com.br/portfolio)\n- [Curriculum Vitae](https://franciscobustamante.com.br/about/)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchicolucio%2Fpi-approximations","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchicolucio%2Fpi-approximations","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchicolucio%2Fpi-approximations/lists"}