Fake data can be invaluable for testing or demonstrating behaviour without using live, production data. This lets you protect your production data or help you get started when you don’t yet have a production system set up. This post gives an overview of the Python fake data package faker, which is invaluable for generating this… Read More »
Wikimedia has an API which lets you compare Wikipedia pages, and in some cases modify pages and information within the Wikimedia group. The main page for all Wikimedia API information is here: In this post I am most interested in the Wikipedia compare API, to show how you use it to see differences between versions… Read More »
A Simple Django Web App Django is a popular web framework for python. Like other web frameworks, the purpose of Django is to help you build websites without the challenge of building everything from scratch. The purpose of this post is to get a minimally, just about useful, app working rather than demonstrating all of… Read More »
Markov chains are a way of stochastically modelling a series of events where the outcome probability of an event depends only only on the event that preceded it. This post gives an overview of some of the theory of Markov chains and gives a simple example implementation using python. Using Markov Chains to Model The… Read More »
Monte Carlo integration uses random numbers to approximate the solutions to integrals. While not as sophisticated as some other numerical integration techniques, Monte Carlo integration is still a valuable tool to have in your toolbox. Monte Carlo integration is one type of Monte Carlo method – a family of techniques which use randomly generated numbers… Read More »