R Resources
Ideally you should stick to one language and do everything - from cleaning data or solving a model numerically to (spatial) data analysis/econometrics - therein in order to reduce frictions and avoid copying around intermediate results. I am going to show you how to do this in R.
Here is a good cross-language introductory programmers guide that is worth having a look at: Ristovska - Coding for Economists.