We've covered several different concurrency paradigms in this chapter and still don't have a clear idea of when each one is useful. As we saw in the case study, it is often a good idea to prototype a few different strategies before committing to one.
Concurrency in Python 3 is a huge topic and an entire book of this size could not cover everything there is to know about it. As your first exercise, I encourage you to search the web to discover what are considered to be the latest Python concurrency best practices.
If you have used threads in a recent application, take a look at the code and see how you can make it more readable and less bug-prone by using futures. Compare thread and multiprocessing futures to see whether you can gain anything by using multiple CPUs.
Try implementing an AsyncIO service for some basic HTTP requests. If you can get it to the point...
