Here is a set of tutorials and accompanying notes that act as a self contained introduction to both Markov Chain Modelling and Python Programming.

The introductory python notebook is very much a general introduction to python and is intended to be separate from the Markov Chain modelling side of things; so this could act as an ideal introduction to python programming, without the hassle of having to deal with Markov Chains - although these are worth knowing about, as they are used in a variety of different fields and the basic idea is always the same.

The Markov Chain tutorials are moreso told through the story of solving different problems; the lecture notes and introductory python notebook are enough to tackle these, which is encouraged since this is how concepts are truly learned. So try and have a go without looking at the solutions first.

The notebooks are compatible with Python 2.7 with numpy and matplotlib as dependancies.

email: [email protected] for any related queries.