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Mastering Functional Programming

Mastering Functional Programming

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Mastering Functional Programming

Mastering Functional Programming

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Overview of this book

Functional programming is a paradigm specifically designed to deal with the complexity of software development in large projects. It helps developers to keep track of the interdependencies in the code base and changes in its state in runtime. Mastering Functional Programming provides detailed coverage of how to apply the right abstractions to reduce code complexity, so that it is easy to read and understand. Complete with explanations of essential concepts, practical examples, and self-assessment questions, the book begins by covering the basics such as what lambdas are and how to write declarative code with the help of functions. It then moves on to concepts such as pure functions and type classes, the problems they aim to solve, and how to use them in real-world scenarios. You’ll also explore some of the more advanced patterns in the world of functional programming such as monad transformers and Tagless Final. In the concluding chapters, you’ll be introduced to the actor model, which you can implement in modern functional languages, and delve into parallel programming. By the end of the book, you will be able to apply the concepts of functional programming and object-oriented programming (OOP)in order to build robust applications.
Table of Contents (17 chapters)
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Functions in functional programming

In imperative programming, functions are used to represent the behavior of an object. In object-oriented programming, the behavior usually implies side effects. For the purposes of this book, we can understand side effects as follows—a function is side-effecting when it modifies the environment outside its own body. For example, it can have a global variable of its parent object modified, it can write a file into the filesystem, or the function can perform some web API calls over the network.

In functional programming, the understanding of functions is quite different. In functional programming, we prise purity and referential transparency. Purity means the absence of side effects. Referential transparency means that the result value the function has computed can be substituted in place of the function call, while the semantics of the...

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Mastering Functional Programming
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