Take a practical journey through the core principles, concepts, and applications of asynchronous programming in Python across real-world environments and technologies.
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.
This 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.
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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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