Book Image

Mastering Functional Programming

Book Image

Mastering Functional Programming

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)

Chapter 6

  1. Asynchronous computations.
  2. Try represents the erroneous case as an exception. Exceptions may not always be desirable in a functional context since they make sense only when we want to throw them. Functional programming discourages throwing exceptions since they are side effects. Hence, we have a more general type called Either that is capable of representing an alternative between any two values.
  3. One way of representing dependency injection in functional programming is via the Reader type. It is an abstraction of the fact that a computation depends on some value and cannot be executed without it. Reader is basically a function. However, it has a more concise signature, and the concept of continuation with flatmap is applied to it the same way as to any other effect type.
  4. Flatmap allows you to sequentially compose side-effecting computations that use effect types to...