Asynchronous Python with Asyncio

The native asyncio library in Python allows you to write concurrent code using the `async` and `await` keywords. The official documentation on asyncio might be somewhat daunting, therefore I hope to make writing asynchronous code more accessible to the less experienced Python developer.

Asyncio is used in multiple Python asynchronous frameworks. Besides that it is practical in your own applications where you deal with network connections or concurrent HTTP requests.

The asyncio module was introduced in Python 3.4 and therefore not new per se. However, with Python version 3.7 the API of the asyncio module received quite some changes. These changes allow developers to interact more easily with the event loop.

During this course I will teach you:

• How to use the new async and await keywords

• All about the asyncio module

• Run coroutines

• About the event loop in Python

• The differences between asyncio and threading

About Me

My name is Koen, it is nice to meet you. Starting out at the age of 15 with iOS development I never lost my interest in Software Development. Currently I mainly keep myself occupied with web development. I am invested in multiple backend technologies and frameworks, such as Ruby on Rails, Django and Laravel. On the frontend side of projects I follow the development of React, Alpine.js and Vue.js closely.

Rating Distribution

• 1 stars: 8 votes
• 2 stars: 10 votes
• 3 stars: 21 votes
• 4 stars: 35 votes
• 5 stars: 52 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!