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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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Toc

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

Technical requirements

For this chapter, we will use some external packages to extend the basic asyncio library. First, we will use pytest as a testing library, along with a couple of extensions (pytest-asyncio and pytest-xdist) to run tests for asyncio and also be able to run them in parallel. Of course, the same concepts apply for any other library (e.g. the standard module unittest). Then instead of consuming actual external resources we will mock responses using aioresponse. As usual, all the source code is available in the Github repository, in the Chapter06 folder (https://github.com/PacktPublishing/Asynchronous-Programming-in-Python). Remember to generate a virtual environment exclusively for the chapter. That way, the additional packages will not interfere with other requirements:

$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip install -r requirements.txt
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