Monte Carlo

Get PI via the Monte Carlo method

Front-end

The front-end is built using Svelte + TypeScript. Follow these steps to run:

1. Create a .env file.

2. Set the key in .env:

   PUBLIC_BASEURL=http://127.0.0.1:8000
   

3. Run npm i, then npm run dev.

Back-end

The back-end is built using FastAPI and Python. Follow these steps to run:

1. Create a .env.dev file based on the .env.example file.
2. Run one of the following:
   • docker build -t montecarlo . followed by docker run -p 8000:8000 montecarlo
   • or poetry shell followed by uvicorn api.main:app --reload

Resources

Here are some useful resources I used to complete this task:

• Svelte documentation - since it was my first time writing something with Svelte (I liked it).
• Python multiprocessing - I tried to improve the performance of the API when requesting certain random points.
• NumPy documentation.
• Monte Carlo (Wikipedia).