ScriptUni Python in Finance Certificate Final Project

estimating pi using a Monto Carlo method to practice using random numbers in haskell

Bayesian inference tools. Including state-of-the-art inference methods: HMC family, ABC family, Data assimilation, and so on. Part of Mathepia.jl

monte carlo simulation with multi-processing

This code estimates the area where two ellipses overlap by simulating random points within a specific area and checking how many of these points fall inside both ellipses. It leverages classes to represent points and ellipses in 2D space and uses a pseudo-random number generator for the simulation.