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)

Technical requirements

To run the examples in this book, you will need the following software, as well as basic understanding of how to use it:

To run the samples:

  1. Clone the https://github.com/PacktPublishing/Mastering-Functional-Programming repository on your machine.
  2. From its root, compose and run the Docker set of images specified in docker-compose.yml. If you are on a Linux/Mac machine, you can run ./compose.sh to complete this step. If you are on Windows, open compose.sh in text editor and run each command from your terminal manually.
  3. Run shell (Bash) on the Docker service called mastering-functional-programming_backend_1. You can complete this step by running ./start.sh on a Linux/Mac machine from a separate terminal window. If you are on a Windows machine, run docker exec -ti mastering_backend bash. Then cd Chapter1 for Chapter 1 examples, or cd ChapterN for Chapter N examples.
  4. The cpp folder contains C++ sources. You can run them with ./run.sh <name-of-the-source> from that directory.
  5. The jvm folder contains Java and Scala sources. You can run them by running sbt run from that directory.

Note that it is necessary to run the examples under Docker. Some chapters run examples against a live database, which is managed by Docker, so make sure to get the above procedure working.

The codes presented in this book are available at: https://github.com/PacktPublishing/Mastering-Functional-Programming