In this chapter, we looked at some specific concurrency patterns for our applications. We learned that generators are functions that return channels, and also feed such channels with data and close them when there is no more data. We also saw that we can use a context to allow the generator to exit early.
Next, we focused on pipelines, which are stages of execution that use channels for communication. They can either be source, which doesn't require any input; destination, which doesn't return a channel; or intermediate, which receives a channel as input and returns one as output.
Another pattern is the multiplexing and demultiplexing one, which consists of spreading a channel to different goroutines and combining several channels into one. It is often referred to as fan-out fan-in, and it allows us to execute different operations concurrently on a set of...
