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 9

  1. Blocking computations block the thread they are using in case they need to wait for some event to happen. Non-blocking computations release the thread if they don't need it. Released threads can be reused by other tasks.
  2. You need asynchronous programming so that the threads are utilized doing useful work and not waiting upon an event to happen.
  3. You can separate the business logic from the strategy of concurrent execution.
  4. IO is an effect type which encapsulates the side effect of delayed computations. It uses the computation-as-a-value approach, and thus is a specification of the computation to be performed.
  5. start to start IO asynchronously from a monadic flow. flatMap to compose IO with other IOs sequentially. Please see API documentation of IO for the full list.