Scaling Python Applications with Asyncio and Concurrency
Last Updated on October 6, 2025 by Editorial Team
Author(s): Code with Margaret
Originally published on Towards AI.
How I learned to stop blocking the event loop and start building faster apps
Concurrency in Python was one of those things I avoided for years. Threads felt messy, processes were overkill, and async looked like magic I didn’t fully understand. But once I finally dove into asyncio, it completely changed how I built applications.
In this article, the author discusses their journey of scaling Python applications through concurrency and asynchronous programming, introducing fundamental concepts of async and await, managing tasks, utilizing queues, and handling blocking code, while also exploring real-world applications and improvements in performance through the use of async libraries and patterns.
Read the full blog for free on Medium.
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