Question 1

What is async within Python?

Accepted Answer

When using asynchronous programming in Python, a task can be executed separately from the main application execution thread. When the task completes, the execution of those that follow it continues. The benefits of async include improved application performance and improved response speed. One of Python's tools for writing asynchronous code is the AsyncIO module.

Question 2

Why do we need AsyncIO for using Python?

Accepted Answer

AsyncIO is a library that helps to write async Python code and minimize idle time by switching tasks. This is a way to improve the speed of Python code execution.

Question 3

What are the real use cases of async in Python?

Accepted Answer

For example, you have a script that requests data from 3 different servers. Sometimes the request to one of those servers may take too much time to execute. While waiting, the whole script is doing nothing. However, instead of waiting for the second request, an asynchronous script could simply skip it and start executing the third request, then go back to the second one and proceed from where it left.

Question 4

How will using async programming in Python help my project?

Accepted Answer

You can refactor the code or change the approach using asynchronous programming in your project so that the software work faster. Productivity is improved by reducing idle time when moving from task to task.

Maria Yakimova

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