In putting together educational materials related to Stan and posterior sampling, I remembered two good ones.
The MCMC interactive gallery is the best set of MCMC visualizations I’ve found.
Stan uses NUTS, so it has to calculate numerous gradients for each new sample and does so by autodifferentiation. I recommend this video for understanding autodiff. It helps a lot to know what Stan is doing with the model code to avoid giving it more work than necessary.