基于响应式JavaScript框架和库的前端架构探索

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Front-End Reactive Architectures Front-End Reactive Architectures是一本关于前端响应式架构的书籍，作者是Luca Mezzalira。这本书探索了使用响应式JavaScript框架和库来构建前端架构的未来。什么是响应式架构？响应式架构是一种软件架构风格，它强调系统的实时响应性和可伸缩性。在前端开发中，响应式架构可以帮助我们构建更加灵活、可维护和高性能的应用程序。响应式JavaScript框架响应式JavaScript框架是指使用响应式编程来构建前端应用程序的框架。常见的响应式JavaScript框架包括RxJS、Cycle.js和Most.js等。这些框架提供了强大的工具和库，帮助开发者构建响应式应用程序。响应式架构的优点响应式架构有很多优点，包括： * 实时响应性：响应式架构可以实时响应用户的输入和变化，提供更加流畅的用户体验。 * 可维护性：响应式架构的代码更加模块化和可维护，易于开发和维护。 * 高性能：响应式架构可以提高应用程序的性能和效率。 Front-End Reactive Architectures书籍内容概要这本书籍探索了使用响应式JavaScript框架和库来构建前端架构的未来。书籍内容包括： * 响应式架构的基础知识和概念 * 使用RxJS、Cycle.js和Most.js等响应式JavaScript框架来构建前端应用程序 * 响应式架构的优点和挑战 * 如何使用响应式架构来构建高性能和可维护的前端应用程序结论 Front-End Reactive Architectures是一本非常有用的书籍，帮助开发者了解响应式架构的概念和技术，并指导他们如何使用响应式JavaScript框架和库来构建高性能和可维护的前端应用程序。如果您是一名前端开发者，想要了解响应式架构和响应式JavaScript框架，那么这本书籍一定是您的不二之选。

Programming Paradigms

It’s time to spend some words on programming paradigms to shed some light on reactive

concepts and comparing them with functional and imperative programming.

Imperative Programming

Imperative programming is probably one of the most well-known programming paradigms.

Often, it’s the first paradigm that we learn for understanding how a computer

elaborates a program: it gives us all the tools for defining implementation details in

depth and specifying exactly how a program should behave step by step.

Let’s see an example of imperative programming:

class Calculator {

constructor(){

this.VAT = 22;

}

sum(...items){

let total = 0;

let i = 0;

for(i; i < items.length; i++){

total = total + items[i];

total = total + items[i] * this.VAT/100;

}

return total;

}

class Receipt {

constructor(calculator){

this.calc = calculator;

}

print(...items){

let total = this.calc.sum(...items);

console.log(`total receipt £${total.toFixed(2)}`);

}

CHAPTER 1 WHAT IS REACTIVE PROGRAMMING?

Immutability means that a specific value won’t ever change during its life cycle, but

if we need to manipulate it, we will create a new instance that contains the manipulated

version of the original object.

Even if you are not familiar with this concept or have never dealt with it, I want you to

see at least one concrete example.

Usually when you are dealing with an array and you want to iterate trough the values

and interact with them in an imperative programming way, you would write something

like this:

const originalArray = [1, 4, 8, 12];

for(let i = 0; i < originalArray.length; i++){

originalArray[i] = originalArray[i] + 1;

}

console.log(originalArray) //[2, 5, 9, 13]

At this stage we have completely lost the initial values of the array called

originalArray; if we want to have a copy of the initial values, we would create a new array

that contains the modified values and then we would check that one.

In functional programming, instead, we are working by default with immutable

objects; therefore, every modification we need to apply won’t affect the original value

but will generate a new one.

Taking into consideration the previous example, we could write in a functional

programming way like this:

const originalArray = [1, 4, 8, 12];

const finalArray = originalArray.map(value => value+1);

console.log(finalArray); //[2, 5, 9, 13]

As you can see from these simple examples, functional programming is focused on

what you are trying to achieve more than its implementation details.

That’s a fundamental distinction compared to imperative programming. In fact, with

functional programming we are describing our program, focusing on each action; and

we need to do describe the data flow of our program more than focusing on each single

detail such as which variable we have to define for iterating an array or how to increment

the variable inside the for statement.

Another important aspect of software programming is how to deal with state

management.

CHAPTER 1 WHAT IS REACTIVE PROGRAMMING?

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