In this chapter, we learned what transducers are. They are a way to compose transformations to be applied to iterable sources, and they are independent of the data source.
We learned the advantages of using transducers–algorithmic transformation composition, performance improvement, better testability, better readability, and independency from the data source
In the advantages we learned how we can compose multiple transformations to create a transformation decoupled from the data source, and how we can reuse the same transducer in completely different data sources.
One section showed the advantage of testing a transducer, as it lets us use synchronous code to test, and how we can have a big performance improvement using this tool.
Now you are ready to create and implement your own applications using functional reactive programming; remember you had the advantage of using Reactive Extensions throughout this book, so most of the knowledge you learned here can be used in other platforms...