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.

Zobacz także:

• Jak zhakowa 125,00 zł, (10,00 zł -92%)
• Biologika Sukcesji Pokoleniowej. Sezon 3. Konflikty na terytorium 117,27 zł, (12,90 zł -89%)
• Windows Media Center. Domowe centrum rozrywki 66,67 zł, (8,00 zł -88%)
• Podręcznik startupu. Budowa wielkiej firmy krok po kroku 92,14 zł, (12,90 zł -86%)
• Ruby on Rails. Ćwiczenia 18,75 zł, (3,00 zł -84%)

Spis treści

Asynchronous Programming in Python. Apply asyncio in Python to build scalable, high-performance apps across multiple scenarios eBook -- spis treści

• 1. Synchronous and Asynchronous programming paradigms
• 2. Concurrency and Parallelism in Python
• 3. Generators and Coroutines
• 4. Implementing Coroutines with Greenlets, Asyncio and Trio
• 5. Benchmarking: Sync vs Async implementations
• 6. Asynchronous Design Patterns
• 7. Asynchronous programming in Django, FastAPI and Litestar
• 8. Asynchronous data access
• 9. Asynchronous tasks with Airflow
• 10. Asynchronous Jupyter Notebooks