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)

Traditional model synchronization on monitors

Concurrency scenarios occur when you have two or more operations that are executed in parallel one with another. This parallelism can be either true parallelism or simulated parallelism. True parallelism is when your application is executed in parallel on two different CPU cores, like so:

Simulated parallelism is when all of your parallel tasks are executed on the same processor core, however the processor switches from one task to another from time to time. Every task is composed of so-called atomic actions—smallest tasks that cannot be interrupted until they complete. The processor can take a certain amount of atomic actions from one task, and then execute a certain number of atomic tasks from another task:

When you are writing a parallel application, you will often come across a situation where your tasks need to communicate...