Repository containing some tips and tricks for writing better code as well as information on some statistical methods and basic tutorials. These include:

• Free Speed in Python - The notebook can be found in this repository and the accompanying talk here. This is part of a series of lectures at King's College London (see KCL Physics for more).
• Monte Carlo Markov Chains (MCMC) - A link to a post about this with some code examples can be found here with the source code in this repository.
• Unit Testing - For a very basic example of how to write unit tests, see here.
• Sphinx Documentation - This is a base template for how to use sphinx to document your project, the code is here.
• Flask - Again, can be used as a template for how to build and deploy a Flask server application with very basic user setup. The code is here.