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    Learning Concurrent Programming in Scala - Second Edition

    Posted By: Grev27
    Learning Concurrent Programming in Scala - Second Edition

    Aleksandar Prokopec, "Learning Concurrent Programming in Scala - Second Edition"
    English | ISBN: 1786466899 | 2017 | EPUB | 382 pages | 4,1 MB

    Key Features
    Make the most of Scala by understanding its philosophy and harnessing the power of multicores
    Get acquainted with cutting-edge technologies in the field of concurrency, through practical, real-world applications
    Get this step-by-step guide packed with pragmatic examples
    Book Description
    Scala is a modern, multiparadigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. Scala smoothly integrates the features of object-oriented and functional languages.

    In this second edition, you will find updated coverage of the Scala 2.12 platform. The Scala 2.12 series targets Java 8 and requires it for execution. The book starts by introducing you to the foundations of concurrent programming on the JVM, outlining the basics of the Java Memory Model, and then shows some of the classic building blocks of concurrency, such as the atomic variables, thread pools, and concurrent data structures, along with the caveats of traditional concurrency.

    The book then walks you through different high-level concurrency abstractions, each tailored toward a specific class of programming tasks, while touching on the latest advancements of async programming capabilities of Scala. It also covers some useful patterns and idioms to use with the techniques described. Finally, the book presents an overview of when to use which concurrency library and demonstrates how they all work together, and then presents new exciting approaches to building concurrent and distributed systems.

    What you will learn
    Get to grips with the fundamentals of concurrent programming on modern multiprocessor systems
    Build high-performance concurrent systems from simple, low-level concurrency primitives
    Express asynchrony in concurrent computations with futures and promises
    Seamlessly accelerate sequential programs by using data-parallel collections
    Design safe, scalable, and easy-to-comprehend in-memory transactional data models
    Transparently create distributed applications that scale across multiple machines
    Integrate different concurrency frameworks together in large applications
    Develop and implement scalable and easy-to-understand concurrent applications in Scala 2.12