AsyncIO (Asynchronous I/O) is a Python library for asynchronous programming, enabling efficient handling of concurrent operations. 🌐✨
This guide covers core concepts, practical examples, and best practices for using asyncio.

Core Concepts

  • Coroutine 🧠
    A function defined with async def that can be paused and resumed.
  • Event Loop ⏱️
    The core of asyncio that manages and schedules asynchronous tasks.
  • Async Function 🚀
    Functions using async def to perform non-blocking operations.
  • Future 📦
    A placeholder for a result of an asynchronous operation.
  • asyncio Library 📚
    Provides tools for building asynchronous applications, including asyncio.run() and asyncio.create_task().

Example Code

import asyncio

async def count_async(number):
    for i in range(number):
        print(f"Counting {i}")
        await asyncio.sleep(0.1)

async def main():
    await count_async(3)

asyncio.run(main())
asyncio_flow

Best Practices

  • Use async/await syntax for clarity and readability.
  • Avoid blocking calls inside async functions.
  • Leverage asyncio.gather() to run multiple coroutines concurrently.
  • Handle exceptions properly with try/except blocks.
  • Always close resources (e.g., network connections) using async with.

Further Reading

For deeper insights into asynchronous programming, visit our AsyncIO Introduction or explore AsyncIO Examples. 🌐

asyncio_patterns