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Asynchronous Programming in Python

You're reading from   Asynchronous Programming in Python Apply asyncio in Python to build scalable, high-performance apps across multiple scenarios

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Product type Paperback
Published in Nov 2025
Publisher Packt
ISBN-13 9781836646617
Length 202 pages
Edition 1st Edition
Languages
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Author (1):
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Nicolas Bohorquez Nicolas Bohorquez
Author Profile Icon Nicolas Bohorquez
Nicolas Bohorquez
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Table of Contents (14) Chapters Close

Preface 1. Synchronous and Asynchronous Programming Paradigms 2. Identifying Concurrency and Parallelism FREE CHAPTER 3. Generators and Coroutines 4. Implementing Coroutines with Asyncio and Trio 5. Assessing Common Mistakes in Asynchronous Programming 6. Testing and Asynchronous Design Patterns 7. Asynchronous Programming in Django, Flask and Quart 8. Asynchronous Data Access 9. Asynchronous Data Pipelines 10. Asynchronous Computing with Notebooks 11. Unlock Your Exclusive Benefits 12. Other Books You May Enjoy
13. Index

Summary

Web frameworks constitute one of the most widely used tools in the Python ecosystem. The breadth of their solution space has proven its usefulness across a range of use cases, starting with classical CRUD applications and taking in data pipelines, REST and GraphQL APIs, and intensive UI experiences. Asynchronous programming extends their capabilities to new horizons of scalability by providing support for new protocols and technologies.

In this chapter we have instrumented two of the most popular hybrid Python synchronous/asynchronous frameworks: Flask and Django. That instrumentation requires not only changes to support asynchronous code but also changes to the way in which it is executed.

Both frameworks evolved to derive some of the benefits of the asynchronous paradigm without disrupting the developer experience or deployment requirements. Nevertheless, new frameworks offering native support provide clear benefits for clean-sheet projects by leveraging the capabilities...

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