Introduction

We begin with a tutorial demonstrating how basic programming principles are implemented in Python. Next we build up the stochastic model for tradable financial assets used in the Black-Scholes framework for the pricing of derivatives, and examine its theoretical properties. A discussion of pseudo-random number generators, including best practice for their usage, is followed by simulation of the asset model and computational verification of its properties.