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Python: Asynchronous Workflows with AsyncIO and AioHTTP

Learn to build scalable, efficient backend systems with Python. This course covers how to use AsyncIO for improved concurrency and AioHTTP for handling HTTP calls, helping developers implement high-performance, asynchronous applications.

Intermediate
1h 9m
(3)

Created by Dan Tofan

Last Updated Apr 11, 2025

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  • Course

Python: Asynchronous Workflows with AsyncIO and AioHTTP

Learn to build scalable, efficient backend systems with Python. This course covers how to use AsyncIO for improved concurrency and AioHTTP for handling HTTP calls, helping developers implement high-performance, asynchronous applications.

Intermediate
1h 9m
(3)

Created by Dan Tofan

Last Updated Apr 11, 2025

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What you'll learn

Implementing real-time, high-concurrency workflows is challenging for backend developers. In this course, Python: Asynchronous Workflows with AsyncIO and AioHTTP, you’ll learn how to build scalable, efficient asynchronous systems. First, you’ll explore the fundamentals of AsyncIO, including event loops, tasks, and coroutines. Next, you’ll discover how to implement asynchronous HTTP servers. Finally, you’ll learn how to integrate AsyncIO and AioHTTP to design robust, real-time backend workflows. When you’re finished with this course, you’ll have the skills and knowledge of asynchronous programming needed to create scalable and fast backend systems.

Python: Asynchronous Workflows with AsyncIO and AioHTTP
Intermediate
1h 9m
(3)
Table of contents

About the author
Dan Tofan - Pluralsight course - Python: Asynchronous Workflows with AsyncIO and AioHTTP
Dan Tofan
18 courses 4.7 author rating 259 ratings

As a software engineer and lifelong learner, Dan wrote a PhD thesis and many highly-cited publications on decision making and knowledge acquisition in software architecture. Dan used Microsoft technologies for many years, but moved gradually to Python, Linux and AWS to gain different perspectives of the computing world.

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