Table of Contents
Functional and Concurrent Programming - Core Concepts and Features by Michel Charpentier
Return to Functional and Concurrent Programming Glossary, Functional and Concurrent Programming, Functional Programming, Functional Languages, Functional Programming and DevOps - Functional Programming and SRE - Functional Programming and CI/CD, Functional Programming and Cloud Native - Functional Programming and Microservices - Functional Programming and Serverless, Functional Programming and Security, Functional Python, Functional Programming Concurrency, Functional Programming and Async, Functional Programming and Data Science - Functional Programming and Databases, Functional Programming and Machine Learning, Functional Bibliography, Functional Courses, Functional Glossary, Awesome Functional, Functional GitHub, Functional Topics
Book Summary
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 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:
- Lazy evaluation and streams
- Threads and thread pools
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.
The primary value of this book lies in its code illustrations. To a large extent, the text is there to support the code, more than the other way around. The code examples tend to be short and focused on the concepts they aim to illustrate. In particular, very few examples are designed to perform the specific tasks you need to solve in your daily programming activities.
Why Scala?
It is feature-rich, making it possible to illustrate many concepts without switching languages Scala was introduced fairly recently and was carefully (and often beautifully) designed The syntax is quite conventional and easy to follow for most programmers without prior exposure to the language
About the Author
Michel Charpentier is an associate professor with the Computer Science department at the University of New Hampshire (UNH). His interests over the years have ranged from distributed systems to formal verification and mobile sensor networks. He has been with UNH since 1999 and currently teaches courses in programming languages, concurrency, formal verification, and model-checking.
Product Details
- Publication date: November 28, 2022
- Paperback: 528 pages
- Time to Complete: ZZZ
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Functional Programming: Functional Programming Compare and Contrast 10 Languages by Cloud Monk (December 2024)
Purely Functional Languages, Purely Functional Programming Languages (Haskell, Elm, PureScript, Agda, Idris, Coq, Lean, Miranda, Erlang, F#)
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