functional_and_concurrent_programming_-_core_concepts_and_features_by_michel_charpentier

Functional and Concurrent Programming - Core Concepts and Features by Michel Charpentier

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:

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

Research More

Fair Use Sources

Functional Programming: Functional Programming Compare and Contrast 10 Languages by Cloud Monk (December 2023), Purely Functional Languages, Purely Functional Programming, FP, Functional Clojure, Functional Haskell, Functional Erlang, Functional Elixir, Functional F#. Data Oriented Programming, Functional C++, Functional C#, Functional Java, Functional Kotlin, Functional Scala, Functional Go, Functional Rust, Functional JavaScript (Functional React), Functional TypeScript (Functional Angular), Functional Swift; FP (programming language), Functional Programming Bibliography - Manning's Programming Functional in, Functional Programming Glossary, Awesome Functional Programming, Functional Programming Topics, Concurrency. (navbar_functional)


Cloud Monk is Retired (for now). Buddha with you. © 2005 - 2024 Losang Jinpa or Fair Use. Disclaimers

SYI LU SENG E MU CHYWE YE. NAN. WEI LA YE. WEI LA YE. SA WA HE.


functional_and_concurrent_programming_-_core_concepts_and_features_by_michel_charpentier.txt · Last modified: 2023/05/25 13:34 by 127.0.0.1