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…
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…
The typical Redux Reducer is function that takes in the previous state and an action and uses a switch case to determine how to transition the provided State. We can take advantage of the Action Names being Strings and replace the typical switch case…
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…
We would like the ability to group a series of actions to be dispatched with single dispatching functions used as handlers in various parts of our game. The only issue with that, is that animations and other design elements in our game require us to…
With our Redux implementation lousy with State ADT based reducers, it is time to hook it all up to a React Shell. Having already built out some UI/UX in React that is connected to our store, we’ll spend the first part of this lesson with a quick tour…
With a well defined demarcation point between Redux and our State ADT based model, hooking up to a Redux store is no different than any other Redux based implementation. Once we have all of our transitions represented in dispatchable actions, we can…
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…
Redux provides a convenient helper for combining many reducers called combineReducer, but it focuses in on specific attributes on our state, making it incompatible with using the State ADT. We would like a way to avoid keeping all of our reducers in…
We only have a few dispatching functions that need to be known by our React Application. Each one actually has multiple actions that need to be dispatched. While we could just have many imperative calls to dispatch in our dispatching functions, but w…
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…
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 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…
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…
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…
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…
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…
When developing a Finite State Machine, it is often necessary to apply multiple transitions in tandem. To accomplish this in most Redux work flows requires at best, implementing multiple action handlers in separate reducers; or at worse, the need to…
While sometimes outside input can have influence on how a given stateful transaction transitions, there are many times where the current state at the time of a transaction. We can see the power of this type of transaction by seeing what it would take…
