Async Programming

<aside> 📚 📁 Category: Python

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Overview

Asynchronous programming in Python enables concurrent execution using async/await syntax, event loops, and coroutines for high-performance I/O-bound applications.

<aside> ℹ️ Why It Matters: Understanding Python Async Programming is essential for building robust, scalable, and secure modern applications.

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Key Concepts

[x] Async/Await Syntax - Define coroutines
[x] Event Loop - Manage async tasks
[x] Coroutines - Async functions
[x] Tasks - Concurrent coroutines
[x] asyncio - Built-in async library
[x] aiohttp - Async HTTP client/server
[x] Async Context Managers - Async with
[x] Async Iterators - Async for loops

Common Use Cases

<aside> 💡 Where to Apply Python Async Programming

                        Web scraping
                        API clients
                        Real-time data processing
                        Concurrent file I/O
                        Database connections
                        WebSocket servers

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Best Practices

[x] Use async for I/O-bound operations
[x] Avoid blocking operations in async code
[x] Use asyncio.gather for concurrency
[x] Handle exceptions in tasks