Functional And Concurrent Programming
Download Functional And Concurrent Programming PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Functional And Concurrent Programming book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Functional and Concurrent Programming
Author: Michel Charpentier
language: en
Publisher: Addison-Wesley Professional
Release Date: 2022-11-16
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 languages—now 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 language—including 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 programming; however, no prior knowledge of Scala is assumed. You should be familiar with concepts such as classes, methods, objects, types, variables, loops, and conditionals and have enough programming experience to not be distracted by simple matters of syntax.
Go Functional Programming Simplified: A Practical Guide with Examples
"Go Functional Programming Simplified: A Practical Guide with Examples" is an essential resource for developers seeking to integrate the robust principles of functional programming into the versatile Go language. This comprehensive guide illuminates the synergy between functional programming paradigms and Go's unique features, providing a clear pathway for crafting modular and efficient code. With a focus on practical application, the book empowers readers to leverage the benefits of immutability, first-class functions, and pure functions within their Go projects. The book is meticulously structured to build from foundational concepts through advanced applications, ensuring a thorough understanding of both functional and Go-specific techniques. Beginning with an introduction to the Go language and its alignment with functional programming, the text navigates through core syntax, data types, and beyond. It explores higher-order functions, recursion, immutable data structures, and the intricacies of concurrency, showcasing how these elements can be effectively applied to achieve cleaner and more maintainable codebases. Ideal for both practitioners new to Go and seasoned developers looking to deepen their functional programming skills, this guide offers insightful examples and practical solutions to common programming challenges. Readers can expect to gain not only a theoretical understanding but also hands-on experience in applying functional programming concepts within Go's powerful environment. By mastering these techniques, developers will enhance their ability to build scalable, reliable, and efficient software systems, preparing them for the evolving demands of modern software development.
Parallel and Concurrent Programming in Haskell
Author: Simon Marlow
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2013-07-12
If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network