MonteCarlo simulation algorithm

Installation

pip install montecarlosim

Requirements

Python 3.10.0+ Currently working to introduce support to old version.

Getting started

• Clone the repository the way you like;
• Create a virtualenv (with pyenv and virtualenv you can run pyenv virtualenv 3.10.0 <name_you_like>) otherwise install poetry and run poetry install, it will take care of the virtualenv itself;
• Now you can lunch the tests with poetry run tests and it will tests all environment inside tox.ini envlist;
• Create a branch, do your changes, push them and open a PR.

Repository structure

Repository configuration files are:

• pyproject.toml;
• tox.ini, tests;
• src, contains the actual repository code;
• src/montecarlo.py, contains the Montecarlo class (where magic happens);
• src/functions.py, contains example functions to be used with Montecarlo class;
• src/exceptions.py, contains custom exception that are used to better handle errors;
• tests, contains python tests file that is launched by tox;
• run_tests.py, simple function that run subprocess.run('tox').