Asynchronous Programming in Python: Apply asyncio in Python to build scalable, high-performance apps across multiple scenarios

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Key benefits

Understand core principles and theory behind async programming in Python

Measure the impact of async techniques in practical, real-world use cases

Apply async patterns in software design and data-oriented architectures

Description

Asynchronous programming is one of the most effective but often misunderstood techniques for building fast, scalable, and responsive systems in Python. While it can significantly improve performance, efficiency, and sustainability, using async without a clear understanding of its trade-offs can lead to fragile designs and hard-to-debug issues. This book offers a structured approach to applying asynchronous programming in Python. It begins with a conceptual framework to help you distinguish between synchronous and asynchronous execution models, and shows how async relates to other concurrency strategies such as multithreading and multiprocessing. From there, you will explore the core tools available for building async applications in Python. You will also learn how to measure the impact of async programming in practical scenarios, profile and debug asynchronous code, and evaluate performance improvements using real-world metrics. The final chapters focus on applying async techniques to common cloud-based systems, such as web frameworks, database interactions, and data-pipelines tools. Designed for developers looking to apply async programming with confidence, this book blends real-world examples with core concepts to help you write efficient, maintainable Python code.

What you will learn

Use generators, coroutines and async/await to build scalable Python functions

Explore event loops to manage concurrency and orchestrate async flow

Compare concurrency models to choose the right async strategy

Optimize I/O-intensive programs to improve system throughput and efficiency

Build async services using real-world APIs and popular Python libraries

Apply structured concurrency and design patterns for cleaner async design

Test and debug async Python code to ensure reliability and stability

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Asynchronous Programming in Python: Apply asyncio in Python to build scalable, high-performance apps across multiple scenarios

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