SKU/Artículo: AMZ-B0GMPJ27D8
Async Python: Concurrency, I/O, and Throughput That Scales
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.34 kg
0.34 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Modern Python applications don’t fail because of bad logic — they fail because they can’t scale.If your services slow to a crawl under load, your APIs block unexpectedly, or your background tasks pile up faster than they finish, the problem isn’t Python — it’s how concurrency is handled.Async Python: Concurrency, I/O, and Throughput That Scales is the definitive guide to building high-performance, non-blocking Python systems using asyncio, async/await, and modern concurrency patterns.Written for real-world developers—not academics—this book goes beyond syntax and dives deep into how async actually works, why it works, and when it doesn’t.You’ll learn how to:Understand the event loop at a mental-model levelEliminate blocking I/O and hidden performance killersDesign async architectures that remain readable and testableHandle thousands of concurrent connections with confidenceCombine async with threads, processes, and CPU-bound workloadsBuild scalable APIs, workers, and pipelines that survive production trafficDebug async code without losing your sanityThrough practical examples, performance diagrams, and production-tested patterns, you’ll master the difference between parallelism vs concurrency, throughput vs latency, and fast code vs scalable systems.This isn’t another “hello asyncio” tutorial.It’s a guide to thinking in async.Whether you’re building APIs, microservices, data pipelines, network tools, or high-throughput backends, this book will teach you how to make Python perform under pressure.
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AR$61.181
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AR$31.375
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