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 check out several third-party libraries that may provide additional context:
execnet, a library that permits local and remote share-nothing concurrency
Parallel python, an alternative interpreter that can execute threads in parallel
Cython, a python-compatible language that compiles to C and has primitives to release the gil and take advantage of fully parallel multi-threading.
PyPy-STM, an experimental implementation of software transactional memory on top of the ultra-fast PyPy implementation of the Python interpreter
Gevent
If you have used threads in a recent application...
