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In Grokking Concurrency you will:
- Get up to speed with the core concepts of concurrency, asynchrony, and parallel programming
- Learn the strengths and weaknesses of different hardware architectures
- Improve the sequential performance characteristics of your software
- Solve common problems for concurrent programming
- Compose patterns into a series of practices for writing scalable systems
- Write and implement concurrency systems that scale to any size
Grokking Concurrency demystifies writing high-performance concurrent code through clear explanations of core concepts, interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects. You’ll learn 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, Kindle, and ePub formats from Manning Publications.
About the technology
Microservices, big data, real-time systems, and other performance-intensive applications can all slow your systems to a crawl. You know the solution is “concurrency.” Now what? How do you choose among concurrency approaches? How can you be sure you’ll actually reduce latency and complete your jobs faster? This entertaining, fully-illustrated guide answers all of your concurrency questions so you can start taking full advantage of modern multicore processors.
About the book
Grokking Concurrency is a friendly guide for any developer who’s perplexed about concurrency. It focuses on the fundamentals, explaining concurrent programming and asynchrony in a math- and jargon-free way. Fun illustrations and diagrams make complex concepts easy to understand. The book presents the most important concurrency features with examples in the accessible Python language. No matter what language you use, you’ll learn best practices for implementing concurrency.
About the reader
For readers who know the basics of programming. Examples are in Python.
About the author
Kirill 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.