Having read this chapter, you should now be able to test your code, and debug it when issues are found.
This chapter described how testing can be done, in a way that is fully automated so that it can be integrated in continuous integration systems. The Python standard library is a solid foundation on which RxPY and asynchronous code can be tested rather easily. You should also understand why pure functions are easier to test than side-effects: they can be fully tested by using dependency injection, which is easier to use than stubs or mocks.
Logging is a subject in-between testing and debugging. It can be useful during the initial testing phases, or when regressions are detected. One major benefit of ReactiveX here is that, once a logging infrastructure is in place, then it becomes easy to configure it dynamically.
Finally, debugging is the dark side of ReactiveX, with...
