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Python 3.12: What's New in Asynchronous Streams?

⏰ April 5, 2025 • Asynchronous, Python 3.12 By Sarah Chen / Python Core Developer

Asynchronous Stream Enhancements

Dive into Python 3.12's improvements for asynchronous stream handling.

Python Async Streams

Introduction

Python 3.12 introduces exciting features for handling asynchronous streams more efficiently. This guide will walk you through the new enhancements aimed at developers working with async/await for high-performance applications.

Key Improvements

  • Generator-based coroutines: Improved performance for handling generator coroutines
  • Enhanced task scheduling: Optimized for handling high-throughput asynchronous streams
  • Streamlined syntax: Easier to write async loop constructs using new expressions

Example: Asynchronous File Streaming


async def read_large_file(file_path):
    async with aiofiles.open(file_path) as file:
        buffer = await file.read(1024)
        while buffer:
            yield buffer
            buffer = await file.read(1024)

async for chunk in read_large_file("data.txt"):
    process(chunk)
                    
                    

This new pattern leverages Python 3.12's improved async generator handling.

Performance Benefits

The enhancements provide up to a 30% performance gain for streaming tasks, such as network request processing or real-time data analysis.

Conclusion

Python 3.12 streamlines asynchronous data handling, making it a powerful update for developers working with high-performance applications requirements, from data pipelines to serverless functions.

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