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

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

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12. Other Books You May Enjoy

13. Index

Using object-relational mappers

An object-relational mapper (ORM) is a piece of software that tries to handle the ‘impedance mismatch’ between the relational database model and the object-oriented paradigm (https://martinfowler.com/bliki/OrmHate.html). In the Python world the use of ORMs is common; Figure 8.3 summarizes their capabilities:

Figure 8.3: ORM general model

We are not going to argue the pros and cons of ORMs in depth, but notice that there are, as with many other projects in the ecosystem, several implementations that provide differing levels of asynchronous support. The main advantages provided by ORMs include:

Reduction of SQL code, allowing development with unified Python code

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Authors (1)

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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