Event loop management with Asyncio
The Python module Asyncio provides facilities to manage events, coroutines, tasks and threads, and synchronization primitives to write concurrent code. The main components and concepts of this module are:
- An event loop: The Asyncio module allows a single event loop per process
- Coroutines: This is the generalization of the subroutine concept. Also, a coroutine can be suspended during the execution so that it waits for external processing (some routine in I/O) and returns from the point at which it had stopped when the external processing was done.
- Futures: This defines the
Future
object, such as theconcurrent.futures
module that represents a computation that has still not been accomplished. - Tasks: This is a subclass of Asyncio that is used to encapsulate and manage coroutines in a parallel mode.
In this recipe, the focus is on handling events. In fact, in the context of asynchronous programming, events are very important since they are inherently asynchronous...