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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.

Dan Tofan - Pluralsight course - Python: Asynchronous Workflows with AsyncIO and AioHTTP
by Dan Tofan
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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.

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About the author

Dan Tofan - Pluralsight course - Python: Asynchronous Workflows with AsyncIO and AioHTTP
Dan Tofan

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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