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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

Asynchronous Data Access

Data is the lifeblood of a system. In many applications, you start with data that is noisy and inconsistent, and you try to structure and regularize it by applying a variety of data-wrangling methods. In recent years there has been a revolution in our understanding of data and the techniques available for processing it, mostly fueled by the volume of data available. The number of datapoints captured by sensors, actuators, devices and systems makes a case for what is known as data-driven decision-making. When it comes to supporting those decisions, traditional synchronous data-access methods often fall short, because of expectations for short response times – you have to give answers on short timescales but are often working with way more data than before.

In this scenario asynchronous programming can be a valuable tool to scale up the amount of data a system can process, providing a definite advantage in some situations. Our explorations will center...

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