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asyncio Recipes

A Problem-Solution Approach

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Get the most out of asyncio and find solutions to your most troubling Python programming problems. This book offers a pragmatic collection of recipes by going beyond online resources and docs to provide guidance on using this complex library. As such, you’ll see how to improve application performance and run computationally intensive programs faster. asyncio Recipes starts with examples illustrating the primitives that come with the asyncio library, and explains how to determine if asyncio is the right choice for your application. It shows how to use asyncio to yield performance gains without multiple threads, and identifies common mistakes and how to prevent them. Later chapters cover error-handling, testing, and debugging. By the end of this book, you'll understand how asyncio runs behind the scenes, and be confident enough to contribute to asyncio-first projects. What You Will Learn Discover quirky APIs such as the event loop policies Write asyncio code with native coroutines Use the ast module to find legacy asyncio code Work with contextvars See what a async context manager is and why a lot of asyncio APIs use them Who This Book Is For Experienced Python developers or hobbyists who want to understand asyncio and speed up their applications by adding concurrency to their toolkit.

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asyncio Recipes, Mohamed Mustapha Tahrioui

Idioma
Publicado en
2019
Encuadernación
(Tapa blanda)
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Título
asyncio Recipes
Subtítulo
A Problem-Solution Approach
Idioma
Inglés
Editorial
Apress
Publicado en
2019
Formato
Tapa blanda
Páginas
344
ISBN10
1484244001
ISBN13
9781484244005
Serie
Descripción
Get the most out of asyncio and find solutions to your most troubling Python programming problems. This book offers a pragmatic collection of recipes by going beyond online resources and docs to provide guidance on using this complex library. As such, you’ll see how to improve application performance and run computationally intensive programs faster. asyncio Recipes starts with examples illustrating the primitives that come with the asyncio library, and explains how to determine if asyncio is the right choice for your application. It shows how to use asyncio to yield performance gains without multiple threads, and identifies common mistakes and how to prevent them. Later chapters cover error-handling, testing, and debugging. By the end of this book, you'll understand how asyncio runs behind the scenes, and be confident enough to contribute to asyncio-first projects. What You Will Learn Discover quirky APIs such as the event loop policies Write asyncio code with native coroutines Use the ast module to find legacy asyncio code Work with contextvars See what a async context manager is and why a lot of asyncio APIs use them Who This Book Is For Experienced Python developers or hobbyists who want to understand asyncio and speed up their applications by adding concurrency to their toolkit.