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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

Product type Paperback

Published in Nov 2025

Publisher Packt

ISBN-13 9781836646617

Length 202 pages

Edition 1st Edition

Languages

Python

Tools

PyScript

Concepts

Programming Language

Author (1):

Nicolas Bohorquez

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Table of Contents (14) Chapters

Preface

1. Synchronous and Asynchronous Programming Paradigms FREE CHAPTER

2. Identifying Concurrency and Parallelism

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

Unlock this Book’s Free Benefits in 3 Easy Steps

12. Other Books You May Enjoy

13. Index

Technical requirements

Sample code provided in this chapter is available on Github (https://github.com/PacktPublishing/Asynchronous-Programming-in-Python/tree/main/Chapter01). You don’t need anything special installed on your computer besides Python 3; if you need help with installation check the community instructions at https://wiki.python.org/moin/BeginnersGuide.

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Asynchronous Programming in Python

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Asynchronous Programming in Python

Published in: Nov 2025

Publisher: Packt

ISBN-13: 9781836646617

© 2025 Packt Publishing Limited All Rights Reserved

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Authors (1)

Nicolas Bohorquez

Nicolas Bohorquez

Nicolas Bohorquez is a software architect and entrepreneur with a master's degree in Data Science for Complex Economic Systems. He began programming at the age of nine, and has since led teams across multiple languages and platforms. As a founder, he has launched three successful tech companies across the Americas. Passionate about writing for many years, Nicolas has focused his recent work on complex distributed systems, exploring how asynchronous programming in Python can be effectively applied in real-world scenarios to lower total cost of cloud solutions.

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