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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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Effect types

Previously, we discussed collections as an example of imperative and declarative data structures. However, the functional and declarative styles also contain some data structures specific to them.

Collections abstract away multiplicity. Functional languages such as Scala, Haskell, and others bring in some other data structures that abstract away side effects. We can refer to them as effect types.

We have argued that pure algebraic and declarative approaches remove time from the equation. This is advantageous because time taxes the programmer's mind. Functional programming takes this idea further by removing side effects from your programs. They also burden the mind as you also need to take them into account and handle them properly.

Previously, we discussed an example of how a Java list interface throws exceptions. We argued that it is pretty bad because it increases...

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Mastering Functional Programming
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