Hands-On Reactive Programming with Python

Summary

This chapter is an application of all the notions learned in the previous chapters. While relatively small, starting its development by using the layout of a Python package allows us to easily extend it later (which will be done in the next chapters). Also, readability tips, such as using named tuples for items types and using parentheses in operator chains, make this code even easier to follow.

Cyclotron packages are very useful when it comes to structuring code in a functional and reactive way. They avoid writing observable connection boilerplate, and provide directions to write functional code. Cyclotron allows us to write the code logic of the application as pure functions, while keeping side-effects in dedicated locations called ...