Advanced topics
In this section you will conclude with some advanced topics in East.
First you will learn how to generate random numbers and other random values in East. Then you will learn how it is possible to evaluate machine learning functions in certain contexts. Finally, you will learn about the object model for East values in the presence of mutation (such as in Elara Functions and simulation Processes).
One thing to note is each of these add some "side effects" to the otherwise pure, functional East language. The context of tasks running on the Elara platform is carefully controlled and reproducible, and these side-effects should be easy to understand and manage as an EDK user.
This is the final section within the East guide. After this, you should be prepared to use East model data and perform logic within solutions hosted on Elara.