We explore our first stateful transaction, by devising a means to echo our state value into the resultant for independent modification. With our state value in the resultant, we explore using mapto lift functions into our type as a means to modify th…
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…
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…
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…
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…
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…
As a beginner of Crocks.js, it was a problem for we to figure out when to use .map() and when to use .chain(). Of course, using the docs help: map: State s a ~> (a -> b) -> State s b chain: State s a ~> (a -> State s b) -> State s b The…
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…
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…
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…
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…
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…
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…
We want to be able to pick nine random cards from an array of twelve cards, but can run into problems of keeping both the cards already draw and the cards left to draw from. Tracking two bits of state like this can create some hard to maintain argume…
Sometimes I am confused with 'liftA2' and 'converge' functions. Main difference between those is that: liftA2 takes applicative functor as second and third arguements, for example, array converge takes functions as second and third arguements // lift…
When we start to accumulate functions that all work on a given datatype, we end up creating a bunch of boilerplate code in almost every function to handle the changes we need to make to our records’ values. This can lead to not only undesirable boile…
The true power of the State ADT really shows when we start combining our discrete, stateful transactions. We start looking at another construction helper named of, used to lift any given value of any type into the resultant. We also explore another i…
We take a closer look at the get construction helper and see how we can use it to lift a function that maps the state portion and updates the resultant with the result. Using get in this fashion, we then demonstrate how we can make accessors that can…
Using put to update our state for a given state transaction can make it difficult to modify a given state based on its previous value. In this lesson we will explore a means to lift specialized functions that can be used modify our state’s value. The…
