Functional and Concurrent Programming: Core Concepts and Features

Leverage Modern Language Constructs to Write High-Quality Code Faster
 
The functional and concurrent programming language features supported by modern languages can be challenging, even for experienced developers. These features may appear intimidating to OOP programmers because of a misunderstanding of how they work. Programmers first need to become familiar with the abstract concepts that underlie these powerful features.
 
In Functional and Concurrent Programming, Michel Charpentier introduces a core set of programming language constructs that will help you be productive in a variety of programming languagesnow and in the future. Charpentier illustrates key concepts with numerous small, focused code examples, written in Scala, and with case studies that provide a thorough grounding in functional and concurrent programming skills. These skills will carry from language to languageincluding the most recent incarnations of Java. Using these features will enable developers and programmers to write high-quality code that is easier to understand, debug, optimize, and evolve.
 
Key topics covered include:
    Recursion and tail recursion
    Pattern matching and algebraic datatypes
    Persistent structures and immutability
    Higher-order functions and lambda expressions
    Lazy evaluation and streams
    Threads and thread pools
    Atomicity and locking
    Synchronization and thread-safe objects
    Lock-free, non-blocking patterns
    Futures, promises, and functional-concurrent programming
 
As a bonus, the book includes a discussion of common typing strategies used in modern programming languages, including type inference, subtyping, polymorphism, type classes, type bounds, and type variance.
 
Most of the code examples are in Scala, which includes many of the standard features of functional and concurrent pr