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Full Description
Take a practical journey through the core principles, concepts, and applications of asynchronous programming in Python across real-world environments and technologies.
Key Features
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
Book DescriptionAsynchronous 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
Write I/O-bound programs that 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
Who this book is forThis book will help Python developers who want to understand and apply the asynchronous programming model in application development, data analysis, and orchestration scenarios. Junior developers, data engineers,, and tech leads will also benefit from the application design examples.
Contents
Table of Contents
Synchronous and Asynchronous programming paradigms
Concurrency and Parallelism in Python
Generators and Coroutines
Implementing Coroutines with Greenlets, Asyncio and Trio
Benchmarking: Sync vs Async implementations
Asynchronous Design Patterns
Asynchronous programming in Django, FastAPI and Litestar
Asynchronous data access
Asynchronous tasks with Airflow
Asynchronous Jupyter Notebooks
