{ "item_title" : "Async Python", "item_author" : [" Amara Hawthorn "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/824/545/9798245458298_b.jpg", "price_data" : { "retail_price" : "18.99", "online_price" : "18.99", "our_price" : "18.99", "club_price" : "18.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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