![]() Res1: Success = Failure(new RuntimeException("First name is empty")) Examples of impure values are Success(123), Failure('First name is empty'), Some(1) or None. Such a value is impure because it expresses an effect of a computation. FP allows to express the result of a computation as a value. Examples of pure values are the number 1, the text hello, or a value like true or false. val f = (_: Int) + 1įP starts to shine when it operates on values that express a certain type of value. For example, when we define two functions f and g, we can compose them to function h, where h has the properties of both. A combined function has the computational properties of both. val f = (x: Int) => x + 1įunction composition is about combining functions. For example, when we type val f = (x: Int) => x + 1 we can defineĪ function called f, that when applied with a value, returns x + 1. Scala uss the arrow-syntax => to define a function. Lets take a look how that works in Scala! Functions and Scala Composing objects in a functional way allowsįor new design patterns eg. Scala supports both OO and FP because it provides FDS structures – a data structure with higher order behavior.įDS structures are also functions themselves so they can be composed. To reduce the amount of ceremony and characters to type, it is preferable to use a programming language that supports function literals like Java, This is because a function can be expressed as an object with an. Most OO programming languages support FP. ![]() The authors of the book are often referred as the Gang of Four, abbreviated to GoF. Is described in the book Design Patterns: Elements of Reusable Object-Oriented Software byĮrich Gamma, Richard Helm, Ralph Johnson and John Vlissides. Objects communicate with each other by means of sending messages. With OO the primary building block is an object. How to design applications using functions is described in the bookįunctional Programming in Scala by Paul Chiusano and Runar Bjarnason. Larger problems can broken down into small functions thatĬan be composed to solve a larger problem. What does Functional/Object Oriented (FOO) mean? Both Functional Programming and Object Oriented (OO) Programming are paradigms.įP uses the function as its primary building block. Programming language created by Martin Odersky at EPFL,Ī world leading university in Lausanne, Switzerland. This time we’ll look how to create processing pipelines using Scala, a Functional/Object Oriented Pipelines are a chain of functions that always return a value. Higher Order Functions (HoF) and functions. Create pipelines using Functional Data Structures (FDS), Solving problems inĪ functional way results in simple but powerful processing pipelines. I explained that Functional programming (FP) is a paradigm where a program is composed of functions. In the previous article about Functional Programming in Python,
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