C# Concurrency

Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#!

From the back cover:

C# Concurrency teaches you how to write effective multithreaded and asynchronous software in C#. In this insightful book, you'll discover the essential differences between multithreaded and asynchronous programming, how async/await works behind the scenes, and how you can use them all accurately and safely. Practical techniques, real-world examples, and useful code samples cut through the confusion around async/await and help you write rapid, reliable, and bug-free code.

About the reader:

For experienced C# programmers. No knowledge of asynchronous programming required.

Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#!

In C# Concurrency: Asynchronous and Multithreaded Programming you'll learn how to:

• Take full advantage of async/await
• Write bug-free multithreaded code every time
• Create multithreaded code that delivers real performance improvements
• Grok C# and .NET multithreading and asynchronous primitives
• Know when to use concurrency techniques—and when not to use them!

C# Concurrency: Asynchronous and Multithreaded Programming teaches you to harness the power of multithreading and async/await to get maximum speed from your code. Nir Dobovizki, a seasoned C# veteran with over 30 years of high-performance programming experience, is here to share his deep knowledge and expert techniques with you. Say goodbye to frustrating pitfalls and impossible-to-find bugs that slow down your applications. Nir's careful approach will teach you how to navigate these challenges with ease, allowing you to achieve lightning-fast performance like never before! About the technology: Concurrency is a developers' secret weapon for maximizing an application's performance. Using asynchronous and multithreaded programming techniques, you can seamlessly execute multiple tasks simultaneously, without sacrificing speed or quality. However, concurrency is notoriously challenging to implement correctly due to the potential for race conditions, deadlocks, and other synchronization issues, and even an experienced developer can make mistakes that undermine their code's speed and introduce bugs that take forever to find.