Hands-On Reactive Programming with Python

Concurrency and schedulers

Chapter 2, Asynchronous Programming in Python, explained the principles of concurrency, and its two categories:

• I/O concurrency
• CPU concurrency

An asynchronous framework is designed to deal with I/O concurrency by multiplexing all I/O requests on a single process and thread. The AsyncIO framework and ReactiveX are both tools in this category. As such, they are a perfect fit for applications that are I/O bound, such as network-based applications and tasks involving interactions with databases. However, there are situations where a full asynchronous design cannot be applied. This can occur in two cases:

• When doing CPU-intensive actions
• When using blocking APIs

Both of them break the behavior of an asynchronous ...