Concurrent Python with asyncio

Build Real-World Async Apps with Coroutines and FastAPI

Lena Iqbal

• Publisher: Chiify
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798259604841
• Subtopic: Parallel Programming
• Index: Computer Science

Are you ready to write fast, scalable Python that handles thousands of connections without breaking a sweat? Concurrent Python with asyncio is your hands-on guide to mastering asynchronous programming through clear, worked examples. Whether you're a beginner or a pro, you'll build real I/O-bound apps that truly scale. Start with coroutines and tasks, then dive into event loops, futures, and synchronisation primitives. Learn to design non-blocking network clients and servers, handle timeouts and cancellation, and integrate asyncio with databases and web frameworks. Every concept is reinforced with practical code you can run and adapt. By the end, you'll confidently build high-performance web scrapers, chat servers, and API gateways. You'll understand the asyncio ecosystem, including aiohttp, asyncpg, and uvloop, and know when to use threads vs. coroutines. This book doesn't just teach syntax—it teaches you how to think in async. Packed with diagrams, debugging tips, and performance benchmarks, Concurrent Python with asyncio is the definitive resource for any Python developer who wants to level up. Compare with [placeholder] and [placeholder] to see why this book stands out. This hands-on Python guide is written to be used at the keyboard: every concept is paired with something you can run, adapt, and keep. You move from first principles to real, working results, with the common errors and fixes called out along the way so you are never stuck for long.

Table of contents

• Concurrent Python with asyncio
• Concurrent Python with asyncio
• Preface
• Chapter 1 — The Blocking Problem and Your First Async Crawl
• Chapter 3 — Coroutines: The Heart of Cooperative Multitasking
• Chapter 4 — The Event Loop: Managing the Concurrency Orchestra
• Chapter 5 — Async/Await in Practice: Writing Readable Concurrent Code
• Chapter 6 — Tasks and Futures: Orchestrating Concurrent Fetches
• Chapter 7 — Asyncio Streams and Network I/O
• Chapter 8 — Synchronization Primitives: Lock, Queue, Semaphore
• Chapter 9 — Producer-Consumer Architecture with Async Queues
• Chapter 10 — Asyncio vs. Threading vs. Multiprocessing
• Chapter 11 — Error Handling, Logging, and Resilience
• Chapter 12 — Testing Async Code
• Chapter 13 — Scaling with Async Web Frameworks (FastAPI)
• Chapter 14 — Structured Concurrency with TaskGroup (Python 3.11+)
• Chapter 15 — Advanced Patterns: Async Generators and Context Managers
• Chapter 16 — Real-Time Monitoring with WebSockets
• Chapter 17 — Production Deployment: Packaging and Performance Tuning
• Chapter 18 — Future Directions: Asyncio in Data Science and AI
• About the Author