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English | 16 Feb. 2025 | ASIN: B0DVVFPFDR | 603 pages| Epub| 1.35 MB

Master Concurrency for High-Performance, Scalable, and Responsive Software Development
In today’s fast-paced computing world, concurrency is the key to achieving performance, responsiveness, and scalability. Concurrent Programming: Handling Multiple Tasks Simultaneously for Improved Performance and Responsiveness is a comprehensive guide designed to equip developers with the knowledge and techniques to efficiently manage multiple tasks at the same time. Whether you are working on multi-threaded applications, real-time systems, or distributed computing, this book provides the fundamental concepts and practical applications of concurrent programming.Explore 10 Languages Optimized for Concurrent Software Development
This book delves into the powerful features and concurrency models of 10 widely used programming languages, including Ada, C#, C++, Elixir, F#, Go, Java, MATLAB, Python, and Scala. Each language provides unique constructs and frameworks to handle concurrency, allowing developers to build efficient, scalable, and responsive applications. Understanding these languages' concurrency models will enable you to select the best tools for your projects.Unlock Cutting-Edge Algorithms and Data Structures for Concurrency

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