⚡️ Asynchronous I/O with Python's asyncio library

Asyncio is a powerful library in Python for writing non-blocking asynchronous code, enabling efficient handling of I/O-bound tasks. It leverages coroutines, event loops, and async/await syntax to streamline concurrent operations.

Key Concepts

  • Event Loop 🌀
    The core of asyncio, managing and dispatching asynchronous tasks.

    event_loop

  • Coroutines 🧠
    Special functions that can be paused and resumed, allowing other code to run in between.

    coroutine

  • Async/Await 📌
    Syntax for writing asynchronous code that reads like synchronous.

    awaitable

  • Tasks & Futures 📦
    Task wraps coroutines to schedule them on the event loop, while Future represents a placeholder for a result not yet available.

    future

Example Usage

import asyncio  

async def count(name: str, n: int):  
    for i in range(1, n+1):  
        print(f"{name}: {i}")  
        await asyncio.sleep(0.1)  

async def main():  
    await asyncio.gather(count("A", 3), count("B", 5))  

asyncio.run(main())

📌 Note: This example demonstrates concurrent counting using async/await.

Further Reading

Asyncio is essential for building scalable applications, especially in web servers, data fetching, and GUIs. 🚀