Hey everyone,

Here are the slides: https://docs.google.com/presentation/d/1Pp_Rga2qYUnDtkxYwHtda9aTIvEwIvgClkYbZJNhR8c/edit#slide=id.g3eca200f4_0110
and code is attached.  It basically just lets you make plots of kernel functions, sample from a Gaussian Process (conditional or not), and evaluate the conditional distribution of  Gaussian Process. 

Let me know if you have any questions about the code or the talk.  I'm more than happy to discuss it.