Summary
In this chapter, we covered some of the key principles of reactive programming. We looked at the key differences between both reactive programming and typical event-driven programming, and we dived deeper into the specifics of the very popular RxPY Python library. We covered observers and observables, emitting events, and multicasting to numerous subscribers.
Hopefully, by now, you have an appreciation of some of the nuances of reactive programming, and you'll now be able to piece together your own reactive systems. You should also have some insight into how you can construct functional programs using Python, using this newly covered topic of operators in conjunction with PyFunctional.
In the next chapter, we'll discuss how you can improve the performance by leveraging the true power of your graphics card to perform tasks such as data analysis and research into big data. We'll see how to utilize the hundreds to thousands of cores that are all working in parallel and reach new performance...
