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Mastering Functional Programming

Mastering Functional Programming

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Mastering Functional Programming

Mastering Functional Programming

5 (1)

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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Higher-order functions

Another important concept that appears in functional programming is that of higher-order functions. A higher-order function is a function that accepts a function as an argument. A very trivial example of where this may be useful is control structures. For example, a while loop can be expressed in a functional way as a higher-order function that accepts the body of the loop and a predicate as an argument.

The body of the loop can be expressed as a function that does not accept any arguments, but computes some side effects. The way it works is that we have a function accept a 0-argument function and a predicate, and we call the same loop function recursively while the predicate is true.

We can call the new control structure whileDiy, and it can be defined as follows:

@annotation.tailrec
def whileDiy(predicate: => Boolean)(body: => Unit): Unit =
if ...
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Mastering Functional Programming
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