This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language.Perplexed by concurrency? Don’t be. This engaging, fully-illustrated beginner’s guide gets you writing the kind of high-performance code your apps deserve. Inside, you’ll find thorough explanations of concurrency’s core concepts—all explained with interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects.In Grokking Concurrency you will:Get up to speed with the core concepts of concurrency, asynchrony, and parallel programmingLearn the strengths and weaknesses of different hardware architecturesImprove the sequential performance characteristics of your softwareSolve common problems for concurrent programmingCompose patterns into a series of practices for writing scalable systemsWrite and implement concurrency systems that scale to any sizeDiscover effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you’re building web apps, IoT systems, or handling big data.Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.About the technologyConcurrency is an approach to running computer programs efficiently by separating them into tasks that can execute independently. This basic idea makes it possible to accelerate game graphics, train large AI models, rapidly scale web applications, streamline big data processing, and much more. Concurrency can get complicated, so this book gets you started gently with interesting examples, entertaining illustrations, and easy-to-follow Python code.About the bookGrokking Concurrency is a perfectly paced introduction to the fundamentals of concurrent, parallel, and asynchronous programming. In it, you’ll learn the practices you’ll need to program multicore processors, GPUs, and other high-performance systems. Author Kirill Bobrov skips the math, jargon, and academic language and concentrates on clear, plain-English explanations.What's insideWriting and running concurrent programsPatterns for performance, scalability, and resilienceChoosing the right hardwareAsynchronous communicationAbout the readerExamples in Python. No prior experience with concurrency or high-performance computing required.About the AuthorKirill Bobrov is a software engineer. His experience includes the development and design of high-load web applications. He now focuses on data engineering practices for companies around the world. Table of ContentsPart 1 The Octopus Orchestra: Introduction to a Symphony of Concurrency1 Introducing concurrency2 Serial and parallel execution3 How computers work4 Building blocks of concurrency5 Interprocess communicationPart 2 the Many Tentacles of Concurrency: Multitasking, Decomposition, and Synchronization6 Multitasking7 Decomposition8 Solving concurrency problems: Race conditions and synchronization9 Solving concurrency problems: Deadlocks and starvationPart 3 Asynchronous Octopuses: a Pizza-making Tale of Concurrency10 Nonblocking I/O11 Event-based concurrency12 Asynchronous communication13 Writing concurrent applications