What we are going to do in this post, is to build a random number generator. As you might know that Javascript provides Math.random(), but the problem for Math.random() is you cannot control it, what we actully want is a number generator which can pr…
1. Functional programming treats computation as the evaluation of mathematical and avoids state and mutable data. Scala encourages an expression-oriented programming(EOP) 1) In expression-oriented programming every statement is an expression. A state…
background In pursuit of a real-world application, let’s say we need an e-commerce web applicationfor a mail-order coffee bean company. They sell several types of coffee and in differentquantities, both of which affect the price. Imperative methods F…
In this blog post I will talk about the changes coming in Angular 2 that will improve its support for functional programming. Angular 2 is still in active development, so all the examples are WIP. Please focus on the capabilities and ideas, and not t…
In functional programming, a monad is a design pattern that defines how functions, actions, inputs, and outputs can be used together to build generic types,[1] with the following organization: Define a data type, and how values of that data type are…
Lifting Now, let's review map from another perspective. map :: (T -> R) -> [T] -> [R] accepts 2 parameters, a function f :: T -> R and a list list :: [T]. [T] is a generic type paramterized by T, it's not the same as T, but definitely shares s…
Functions in Java Prior to the introduction of Lambda Expressions feature in version 8, Java had long been known as a purely object-oriented programming language. "Everything is an Object" is the philosophy deep in the language design. Objects a…
In computer science, functional programming is a programming paradigm, a style of building the structure and elements of computer programs, that treats computation as the evaluation of mathematical functions and avoids state and mutable data. It is a…
A functional programming function is like a mathematical function, which produces an output that typically depends only on its arguments. Each time a functional programming function is called with the same arguments, the same result is achieved. Func…
It is really important to understand function signature in functional programming. The the code example below: const map = fn => anyFunctor => anyFunctor.map(fn); 'map' is pointfree version of any founctor's map, for example: Maybe.of('maybe').map(t…
Link:http://refactoring.info/tools/LambdaFicator/ Problem Description Java 8 will support lambda expressions and will extend the Collections APIs with functional operations like map or filter that apply a lambda expression over the elements of a coll…
Recently, I am learning Working with ADT. Got some extra thought about State Monad. Basiclly how to thinking in State. First, we need to know the type of State: State returns Pair with Unit on the left, and state on the right: State(state => Pair(Uni…
Let's say we are going to read some files, return the first file which pass the prediction method, this prediction method can be just check whether the file content contains more than 50 chars. For reading the file, it has tow requirements, first we…
Recentlly, I am learning crocks.js ADT libaray. In the beginning, it is hard to understand when to use 'runWith', 'evalWith', 'execWith'. Until I went though the coursea thrid times... I finally have some feelings for it. State has 'get, put, modify'…
What is applicative functor: the ability to apply functors to each other. For example we have tow functors: Container(2), Container(3) // We can't do this because the numbers are bottled up. add(Container.of(), Container.of()); // NaN We cannot just…
When using ADTs in our code base, it can be difficult to use common debugging tools like watches and breakpoints. This is mainly due to the common pattern of using compositions and other ways of manipulating how functions are called. This can cause u…
Not only will we need to give our initial state to a Redux store, we will also need to be able to reset our state at any time by dispatching an action. We can get the best of both worlds by having a function that will return an object with all of our…
By using the State ADT to define how our application state transitions over time, we clear up the need for a some of the boilerplate that we typically need for a solid Redux integration. We can keep our action names and creators in the same file as t…
Functor composition is a powerful concept that arises when we have one Functor nested in another Functor. It becomes even more powerful when both of those are Chains, allowing us to apply each Functor’s special properties and effects for a given comp…
