Python

9 Levels of Asynchronous Programming in Python

From beginner basics to advanced concurrency mastery

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Asynchronous programming seems complicated and daunting for beginners.

But it’s one of the most powerful tools you can add to your Python toolkit.

Imagine writing code that never sits idle while waiting for a response — your programs become faster, more responsive, and capable of handling multiple tasks simultaneously.

In this article, I’ll take you step-by-step through 9 levels from the basics to advanced concurrency techniques. Whether you’re new to async or looking to sharpen your skills, this guide will provide you with practical knowledge and examples to master async Python programming.

Level 0: Understanding the Need for Asynchronous Programming

Consider a script that fetches data from multiple websites. With synchronous programming, each request will block the program until it’s completed:

import requests
import time

# The urls list could be much longer
urls = ["http://example.com",
        "http://example.org",
        "http://example.net/",]

start_time = time.time()

for url in urls:
    response = requests.get(url)…