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Async Python: Concurrency, I/O, and Throughput That Scales

by Amara Hawthorn
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Current price ₹1,595.00
Original price ₹1,765.00
Original price ₹1,765.00
Original price ₹1,765.00
(-10%)
₹1,595.00
Current price ₹1,595.00

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Book cover type: Paperback
  • ISBN13: 9798245458298
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 250
  • Original Price: GBP 13.95
  • Language: English
  • Edition: N/A
  • Item Weight: 341 grams
  • BISAC Subject(s): Languages / Python

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 level

  • Eliminate blocking I/O and hidden performance killers

  • Design async architectures that remain readable and testable

  • Handle thousands of concurrent connections with confidence

  • Combine async with threads, processes, and CPU-bound workloads

  • Build scalable APIs, workers, and pipelines that survive production traffic

  • Debug async code without losing your sanity

Through 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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