py_pi

Implementing Monte-Carlo-based π estimation as a Python module.

Requirements

It is highly recommended to build and run this code in a Python virtual environment. The easiest way is to use the Anaconda distribution, but you can use your preinstalled Python interpreter, also.

Option A: Anaconda

1. Install Anaconda

2. In the command prompt (Anaconca Prompt on Windows), create a new virtual environment (with some key packages installed):

conda create -n py_pi python jupyter numpy maturin

3. Activate your environment

conda activate py_pi

4. Build (release profile) and install this package in your virtual environment

maturin develop -r

5. Launch Jupyter Lab, and open the experiment.ipynb notebook in your browser. Play with it.

jupyter lab

Option B: Pre-installed Python

Needs at least Python 3.7.

1. In the command prompt, create a new virtual environment:

python3 -m venv .venv

2. Activate your environment

   • On macOS/Linux:

   source .venv/bin/activate

   • On Windows:

   .\Scripts\activate.bat

3. Install required Python packages

pip install jupyter numpy maturin

4. Build (release profile) and install this package in your virtual environment

maturin develop -r

5. Launch Jupyter Lab, and open the experiment.ipynb notebook in your browser. Play with it.

jupyter lab