How to Make Use of RxJS to Create Efficient React Components with Ease

Introduction

React components are based on the concept of properties and states. While properties represent the input values from other (host) components, the state represents the internal condition of a component. The state can be derived from properties or even be computed asynchronously — e.g… as a result of making HTTP calls.

The React library makes sure to rerender a component when updates to properties or the state will have a visual effect.

From a performance perspective, we want make sure:

• The execution of the render method of a component should be as fast as possible — i.e., we want to avoid doing expensive computations or object allocations
• The number of times the render method is invoked should be as small as possible. Each time render is called, React has to run its reconciliation algorithm to compare the virtual DOMs of the update vs the existing state. Although this is implemented very efficiently, it’s even more efficient to avoid reconciliation altogether.

Minimizing Render Time

We minimize the time spent in the render method by precomputing all required data structures beforehand. This includes potentially expensive computations as well as object allocations.

We use RxJS operators to react to changes of the input and use the state concept to carry the result of our computations and object creations over to the render method.

Avoiding Reconciliation

It’s the responsibility of the component developer to tell if a modification of a property or state results in a rerendering of the application. This is typically done by overriding the shouldComponentUpdate method or by deriving from PureComponent for simple use cases.

Per default, React will rerender a component if a property or the state changes. Deriving from PureComponentimproves this situation a bit by doing a shallow comparison of the properties, assuming immutability of the objects themselves. Still this approach can lead to undesired rerender operations because:

• The rendering of the component might not depend directly on a property but rather on derived information of that property. And that might stay stable despite the property changing.
• For controlled components, we often pass in callback functions via properties. We can sometimes observe the (anti)pattern that host components bind member functions to callbacks inside their render calls or that they use Lambda functions generated during render. This will create new function objects each time the host renders, causing an unnecessary rerender of the child component.

So in order to avoid these issues, our strategy is to make sure the rendering of the component does NOT use properties directly — but only information from the state.

This is information the component developer has full control over. We also mandate objects carried in the component state are immutable so we can tell by a simple equals check if the state changed or not.

Separation of Concerns

The discussed optimization patterns pivot around the idea of computing the ideal state for the rendering of a component.

This gives us the opportunity to separate the task for computing this state into a Business Logic Component (BLoC) and the actual rendering into a presentation component.

Example

Before we start to explain the approach, let’s add a very simple “Hello, World!” example.

We’ll use the rx-react-component implementation of the discussed pattern:

import * as React from 'react';
import { pipe } from 'rxjs';
import { map, pluck, distinctUntilChanged } from 'rxjs/operators';

import { rxComponent } from 'rx-react-component';

export interface HelloWorldProps {
  name: string;
}

export interface HelloWorldState {
  text: string;
}

// 1
export const HelloWorld = rxComponent<HelloWorldProps, HelloWorldState>(
  // 2
  pipe(
    pluck('name'),
    distinctUntilChanged(),
    map(name => ({ text: `Hello ${name}` }))
  ),
  // 3
  ({ text }) => <div>{text}</div>
);

“Hello, World!” example

Explanation:

1. Constructing a component with HelloWorldProps as input. The component will implement some simple business logic (prefix the input with 'Hello') and then pass the result to a presentation component.
2. The business-logic layer that transforms the input properties to state. Note how the distinctUntilChanged operator makes sure to update the state only if the input has really changed.
3. The presentation component realized as a function component.

Approach

We implement an anonymous class for our performance optimized reactive component. The purpose of this class is to:

• Expose a reactive RxJS way to compute the state from properties, including reactive access to life-cycle methods
• Minimize reconciliation by implementing the shouldComponentUpdate method

Component design with the RxJS business layer in the BLoC and the separation of the view layer into a dumb presentation component

Minimizing Render Time

We represent the React life-cycle methods as Observables and derive the component state using reactive operators.

The abstract class takes a function to convert the properties into a state Observable. It’ll then make sure to correctly hook into the life-cycle methods to subscribe and unsubscribe.

The caller constructs the state$ Observable based on input properties (via the props$ Observable) or by using RxJS mechanisms to compute state asynchronously.

Initial state

Any state that is emitted by the state$ Observable before the componentDidMount method is invoked is considered an initialization state automatically. You might use the startWith operator to make sure such a state exists. There’s no need (and no way) to set this.state explicitly.

Input from the host component

Our React component will receive its input via properties from its host. These properties are made available via the props$ Observable.

Use operators such as pluck and distinctUntilChanged to access individual properties, and change the state only if these properties change.

Input from child components

Communication from a child component to the parent component typically works by passing a callback function as an event handler via a property into the child.

We distinguish between controlled or uncontrolled components. A controlled component delegates its state to its host component and expects state changes to be mirrored back via its properties. An uncontrolled component maintains its own state.

Since we split our component into a BLoC and a presentation component, the presentation component should always be controlled by the BLoC, whereas the BLoC can be controlled or uncontrolled.

Controlling the presentation component: We define callback functions for the view component’s state changes and manage them in the state of the BLoC. These functions are bound next calls on a Subject which allow the BLoC to integrate these callbacks into the observable pipe.

Uncontrolled BLoC: The uncontrolled BLoC typically maintains its state via a scan operator.

Layout of an uncontrolled component. The BLoC maintains its state via a scan operator and updates it when triggered by a click subject.

Example: Imagine a component that maintains a counter value. The view component displays the value and renders a button to increment it.

/**
 * Properties of the final component
 */
export interface CounterProps {
  // some initial counter value
  initial: number;
}
/**
 * Properties of the view-only component
 */
export interface CounterViewProps {
  // the current counter value
  counter: number;
  // callback that allows to increment the counter
  onClick: UnaryFunction<MouseEvent, void>;
}
/**
 * The view only component
 */
const viewOnly = ({ counter, onClick }: CounterViewProps) => (
  <div>
    <div>Counter {counter}</div>
    <button onClick={onClick}>Increment</button>
  </div>
);
/**
 * The business logic component
 */
function bloc(props$: Observable<CounterProps>): Observable<CounterViewProps> {
  // extract the initial value from the props
  const initial$ = props$.pipe(prop('initial'));
  // subject to react to button clicks
  const clickSubject = new Subject<any>();
  const click$ = initial$.pipe(
    /* here we maintain the component state, each time the 
     * button is clicked, the subject fires and the counter
     * is incremented */
    switchMap(initial => clickSubject.pipe(scan(value => value + 1, initial)))
  );
  // for convenience we bind the next function
  const onClick = bindNext(clickSubject);
  const value$ = merge(initial$, click$);
  // map the counter value to the input props of the view component
  return value$.pipe(map(counter => ({ counter, onClick })));
}
export const Counter = rxComponent<CounterProps, CounterViewProps>(
  bloc,
  viewOnly
);

Example of an uncontrolled counter component

Controlled BLoC: The controlled BLoC delegates state management to its host via a callback function in its properties.

Layout of a controlled component. The reactive layer transforms the input properties to the state and dispatches clicks back to the controller.

Example: Again, we have a counter with a button to increment it. This example uses the identical-view implementation compared to the previous sample.

/**
 * Properties of the final component
 */
export interface ControlledCounterProps {
  // counter, maintained by the host component
  value: number;
  // callback to send a new value
  onValue: UnaryFunction<number, void>;
}

/**
 * The business logic component
 */
function bloc(
  props$: Observable<ControlledCounterProps>
): Observable<CounterViewProps> {
  // the controlled input
  const value$ = props$.pipe(prop('value'));

  // subject to react to button clicks
  const clickSubject = new Subject<any>();
  const onClick = bindNext(clickSubject);

  const click$ = clickSubject.pipe(
    /* A click will update the current value
     * and will use the current callback function */
    withLatestFrom(value$, props$),    
    map(([, value, { onValue }]) => onValue(value + 1)),
    // this keeps the sequence live but does not emit anything
    switchMapTo(EMPTY)
  );

  /**
   * We merge the clicks with the values to keep the pipe
   * alive. Since click$ will never emit anything, this
   * does not mess up our state.
   */
  return merge(value$, click$).pipe(map(counter => ({ counter, onClick })));
}

export const ControlledCounter = rxComponent<
  ControlledCounterProps,
  CounterViewProps
>(bloc, viewOnly);

Example of a controlled counter component

Avoiding Reconciliation

The abstract class implements shouldComponentUpdate and compares the new state against the current state using a simple equals check. Properties are ignored completely. This works, because

• Objects are immutable
• All information derived from properties should be converted to state via the state$ observable

Separation of Concerns

We use the rxComponent function to create our component. This function accepts a function to compute the state$ observable from the properties, life-cycle Observables, and a reference to a presentation component that accepts the state as its input properties.

This approach has the following advantages:

• Clearly separates business logic from rendering logic
• No need to create a custom class per component, thus reducing the overall application size

Summary

• Split your component into a Business Logic Component (BLoC) and a presentation component
• Implement the BLoC using RxJS to transform properties and context into state
• Use built-in RxJS operators for initialization (startWith), to minimize updates (distinctUntilChanged), to maintain state (scan), and to combine with contextual, potentially asynchronous data (merge, switch, etc.).
• Pass the resulting state as input properties to the presentation component

Resources

• References implementation
• React documentation
• RxJS documentation
• BLoC pattern

Thank for reading! I hope this tutorial will surely help and you if you liked this tutorial, please consider sharing it with others.

#JavaScript #Rxjs #React #Programming #Webdev

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How native is React Native? | React Native vs Native App Development

If you are undertaking a mobile app development for your start-up or enterprise, you are likely wondering whether to use React Native. As a popular development framework, React Native helps you to develop near-native mobile apps. However, you are probably also wondering how close you can get to a native app by using React Native. How native is React Native?

In the article, we discuss the similarities between native mobile development and development using React Native. We also touch upon where they differ and how to bridge the gaps. Read on.

A brief introduction to React Native

Let’s briefly set the context first. We will briefly touch upon what React Native is and how it differs from earlier hybrid frameworks.

React Native is a popular JavaScript framework that Facebook has created. You can use this open-source framework to code natively rendering Android and iOS mobile apps. You can use it to develop web apps too.

Facebook has developed React Native based on React, its JavaScript library. The first release of React Native came in March 2015. At the time of writing this article, the latest stable release of React Native is 0.62.0, and it was released in March 2020.

Although relatively new, React Native has acquired a high degree of popularity. The “Stack Overflow Developer Survey 2019” report identifies it as the 8th most loved framework. Facebook, Walmart, and Bloomberg are some of the top companies that use React Native.

The popularity of React Native comes from its advantages. Some of its advantages are as follows:

• Performance: It delivers optimal performance.
• Cross-platform development: You can develop both Android and iOS apps with it. The reuse of code expedites development and reduces costs.
• UI design: React Native enables you to design simple and responsive UI for your mobile app.
• 3rd party plugins: This framework supports 3rd party plugins.
• Developer community: A vibrant community of developers support React Native.

Why React Native is fundamentally different from earlier hybrid frameworks

Are you wondering whether React Native is just another of those hybrid frameworks like Ionic or Cordova? It’s not! React Native is fundamentally different from these earlier hybrid frameworks.

React Native is very close to native. Consider the following aspects as described on the React Native website:

• Access to many native platforms features: The primitives of React Native render to native platform UI. This means that your React Native app will use many native platform APIs as native apps would do.
• Near-native user experience: React Native provides several native components, and these are platform agnostic.
• The ease of accessing native APIs: React Native uses a declarative UI paradigm. This enables React Native to interact easily with native platform APIs since React Native wraps existing native code.

Due to these factors, React Native offers many more advantages compared to those earlier hybrid frameworks. We now review them.

#android app #frontend #ios app #mobile app development #benefits of react native #is react native good for mobile app development #native vs #pros and cons of react native #react mobile development #react native development #react native experience #react native framework #react native ios vs android #react native pros and cons #react native vs android #react native vs native #react native vs native performance #react vs native #why react native #why use react native

How to Make Use of RxJS to Create Efficient React Components with Ease

Introduction

React components are based on the concept of properties and states. While properties represent the input values from other (host) components, the state represents the internal condition of a component. The state can be derived from properties or even be computed asynchronously — e.g… as a result of making HTTP calls.

The React library makes sure to rerender a component when updates to properties or the state will have a visual effect.

From a performance perspective, we want make sure:

• The execution of the render method of a component should be as fast as possible — i.e., we want to avoid doing expensive computations or object allocations
• The number of times the render method is invoked should be as small as possible. Each time render is called, React has to run its reconciliation algorithm to compare the virtual DOMs of the update vs the existing state. Although this is implemented very efficiently, it’s even more efficient to avoid reconciliation altogether.

Minimizing Render Time

We minimize the time spent in the render method by precomputing all required data structures beforehand. This includes potentially expensive computations as well as object allocations.

We use RxJS operators to react to changes of the input and use the state concept to carry the result of our computations and object creations over to the render method.

Avoiding Reconciliation

It’s the responsibility of the component developer to tell if a modification of a property or state results in a rerendering of the application. This is typically done by overriding the shouldComponentUpdate method or by deriving from PureComponent for simple use cases.

Per default, React will rerender a component if a property or the state changes. Deriving from PureComponentimproves this situation a bit by doing a shallow comparison of the properties, assuming immutability of the objects themselves. Still this approach can lead to undesired rerender operations because:

• The rendering of the component might not depend directly on a property but rather on derived information of that property. And that might stay stable despite the property changing.
• For controlled components, we often pass in callback functions via properties. We can sometimes observe the (anti)pattern that host components bind member functions to callbacks inside their render calls or that they use Lambda functions generated during render. This will create new function objects each time the host renders, causing an unnecessary rerender of the child component.

So in order to avoid these issues, our strategy is to make sure the rendering of the component does NOT use properties directly — but only information from the state.

This is information the component developer has full control over. We also mandate objects carried in the component state are immutable so we can tell by a simple equals check if the state changed or not.

Separation of Concerns

The discussed optimization patterns pivot around the idea of computing the ideal state for the rendering of a component.

This gives us the opportunity to separate the task for computing this state into a Business Logic Component (BLoC) and the actual rendering into a presentation component.

Example

Before we start to explain the approach, let’s add a very simple “Hello, World!” example.

We’ll use the rx-react-component implementation of the discussed pattern:

import * as React from 'react';
import { pipe } from 'rxjs';
import { map, pluck, distinctUntilChanged } from 'rxjs/operators';

import { rxComponent } from 'rx-react-component';

export interface HelloWorldProps {
  name: string;
}

export interface HelloWorldState {
  text: string;
}

// 1
export const HelloWorld = rxComponent<HelloWorldProps, HelloWorldState>(
  // 2
  pipe(
    pluck('name'),
    distinctUntilChanged(),
    map(name => ({ text: `Hello ${name}` }))
  ),
  // 3
  ({ text }) => <div>{text}</div>
);

“Hello, World!” example

Explanation:

1. Constructing a component with HelloWorldProps as input. The component will implement some simple business logic (prefix the input with 'Hello') and then pass the result to a presentation component.
2. The business-logic layer that transforms the input properties to state. Note how the distinctUntilChanged operator makes sure to update the state only if the input has really changed.
3. The presentation component realized as a function component.

Approach

We implement an anonymous class for our performance optimized reactive component. The purpose of this class is to:

• Expose a reactive RxJS way to compute the state from properties, including reactive access to life-cycle methods
• Minimize reconciliation by implementing the shouldComponentUpdate method

Component design with the RxJS business layer in the BLoC and the separation of the view layer into a dumb presentation component

Minimizing Render Time

We represent the React life-cycle methods as Observables and derive the component state using reactive operators.

The abstract class takes a function to convert the properties into a state Observable. It’ll then make sure to correctly hook into the life-cycle methods to subscribe and unsubscribe.

The caller constructs the state$ Observable based on input properties (via the props$ Observable) or by using RxJS mechanisms to compute state asynchronously.

Initial state

Any state that is emitted by the state$ Observable before the componentDidMount method is invoked is considered an initialization state automatically. You might use the startWith operator to make sure such a state exists. There’s no need (and no way) to set this.state explicitly.

Input from the host component

Our React component will receive its input via properties from its host. These properties are made available via the props$ Observable.

Use operators such as pluck and distinctUntilChanged to access individual properties, and change the state only if these properties change.

Input from child components

Communication from a child component to the parent component typically works by passing a callback function as an event handler via a property into the child.

We distinguish between controlled or uncontrolled components. A controlled component delegates its state to its host component and expects state changes to be mirrored back via its properties. An uncontrolled component maintains its own state.

Since we split our component into a BLoC and a presentation component, the presentation component should always be controlled by the BLoC, whereas the BLoC can be controlled or uncontrolled.

Controlling the presentation component: We define callback functions for the view component’s state changes and manage them in the state of the BLoC. These functions are bound next calls on a Subject which allow the BLoC to integrate these callbacks into the observable pipe.

Uncontrolled BLoC: The uncontrolled BLoC typically maintains its state via a scan operator.

Layout of an uncontrolled component. The BLoC maintains its state via a scan operator and updates it when triggered by a click subject.

Example: Imagine a component that maintains a counter value. The view component displays the value and renders a button to increment it.

/**
 * Properties of the final component
 */
export interface CounterProps {
  // some initial counter value
  initial: number;
}
/**
 * Properties of the view-only component
 */
export interface CounterViewProps {
  // the current counter value
  counter: number;
  // callback that allows to increment the counter
  onClick: UnaryFunction<MouseEvent, void>;
}
/**
 * The view only component
 */
const viewOnly = ({ counter, onClick }: CounterViewProps) => (
  <div>
    <div>Counter {counter}</div>
    <button onClick={onClick}>Increment</button>
  </div>
);
/**
 * The business logic component
 */
function bloc(props$: Observable<CounterProps>): Observable<CounterViewProps> {
  // extract the initial value from the props
  const initial$ = props$.pipe(prop('initial'));
  // subject to react to button clicks
  const clickSubject = new Subject<any>();
  const click$ = initial$.pipe(
    /* here we maintain the component state, each time the 
     * button is clicked, the subject fires and the counter
     * is incremented */
    switchMap(initial => clickSubject.pipe(scan(value => value + 1, initial)))
  );
  // for convenience we bind the next function
  const onClick = bindNext(clickSubject);
  const value$ = merge(initial$, click$);
  // map the counter value to the input props of the view component
  return value$.pipe(map(counter => ({ counter, onClick })));
}
export const Counter = rxComponent<CounterProps, CounterViewProps>(
  bloc,
  viewOnly
);

Example of an uncontrolled counter component

Controlled BLoC: The controlled BLoC delegates state management to its host via a callback function in its properties.

Layout of a controlled component. The reactive layer transforms the input properties to the state and dispatches clicks back to the controller.

Example: Again, we have a counter with a button to increment it. This example uses the identical-view implementation compared to the previous sample.

/**
 * Properties of the final component
 */
export interface ControlledCounterProps {
  // counter, maintained by the host component
  value: number;
  // callback to send a new value
  onValue: UnaryFunction<number, void>;
}

/**
 * The business logic component
 */
function bloc(
  props$: Observable<ControlledCounterProps>
): Observable<CounterViewProps> {
  // the controlled input
  const value$ = props$.pipe(prop('value'));

  // subject to react to button clicks
  const clickSubject = new Subject<any>();
  const onClick = bindNext(clickSubject);

  const click$ = clickSubject.pipe(
    /* A click will update the current value
     * and will use the current callback function */
    withLatestFrom(value$, props$),    
    map(([, value, { onValue }]) => onValue(value + 1)),
    // this keeps the sequence live but does not emit anything
    switchMapTo(EMPTY)
  );

  /**
   * We merge the clicks with the values to keep the pipe
   * alive. Since click$ will never emit anything, this
   * does not mess up our state.
   */
  return merge(value$, click$).pipe(map(counter => ({ counter, onClick })));
}

export const ControlledCounter = rxComponent<
  ControlledCounterProps,
  CounterViewProps
>(bloc, viewOnly);

Example of a controlled counter component

Avoiding Reconciliation

The abstract class implements shouldComponentUpdate and compares the new state against the current state using a simple equals check. Properties are ignored completely. This works, because

• Objects are immutable
• All information derived from properties should be converted to state via the state$ observable

Separation of Concerns

We use the rxComponent function to create our component. This function accepts a function to compute the state$ observable from the properties, life-cycle Observables, and a reference to a presentation component that accepts the state as its input properties.

This approach has the following advantages:

• Clearly separates business logic from rendering logic
• No need to create a custom class per component, thus reducing the overall application size

Summary

• Split your component into a Business Logic Component (BLoC) and a presentation component
• Implement the BLoC using RxJS to transform properties and context into state
• Use built-in RxJS operators for initialization (startWith), to minimize updates (distinctUntilChanged), to maintain state (scan), and to combine with contextual, potentially asynchronous data (merge, switch, etc.).
• Pass the resulting state as input properties to the presentation component

Resources

• References implementation
• React documentation
• RxJS documentation
• BLoC pattern

Thank for reading! I hope this tutorial will surely help and you if you liked this tutorial, please consider sharing it with others.

#JavaScript #Rxjs #React #Programming #Webdev

What are hooks in React JS? - INFO AT ONE

In this article, you will learn what are hooks in React JS? and when to use react hooks? React JS is developed by Facebook in the year 2013. There are many students and the new developers who have confusion between react and hooks in react. Well, it is not different, react is a programming language and hooks is a function which is used in react programming language.
Read More:- https://infoatone.com/what-are-hooks-in-react-js/

#react #hooks in react #react hooks example #react js projects for beginners #what are hooks in react js? #when to use react hooks

How to Select and Hire the Best React JS and React Native Developers?

Since March 2020 reached 556 million monthly downloads have increased, It shows that React JS has been steadily growing. React.js also provides a desirable amount of pliancy and efficiency for developing innovative solutions with interactive user interfaces. It’s no surprise that an increasing number of businesses are adopting this technology. How do you select and recruit React.js developers who will propel your project forward? How much does a React developer make? We’ll bring you here all the details you need.

What is React.js?

Facebook built and maintains React.js, an open-source JavaScript library for designing development tools. React.js is used to create single-page applications (SPAs) that can be used in conjunction with React Native to develop native cross-platform apps.

React vs React Native

• React Native is a platform that uses a collection of mobile-specific components provided by the React kit, while React.js is a JavaScript-based library.
• React.js and React Native have similar syntax and workflows, but their implementation is quite different.
• React Native is designed to create native mobile apps that are distinct from those created in Objective-C or Java. React, on the other hand, can be used to develop web apps, hybrid and mobile & desktop applications.
• React Native, in essence, takes the same conceptual UI cornerstones as standard iOS and Android apps and assembles them using React.js syntax to create a rich mobile experience.

What is the Average React Developer Salary?

In the United States, the average React developer salary is $94,205 a year, or $30-$48 per hour, This is one of the highest among JavaScript developers. The starting salary for junior React.js developers is $60,510 per year, rising to $112,480 for senior roles.

* React.js Developer Salary by Country

• United States- $120,000
• Canada - $110,000
• United Kingdom - $71,820
• The Netherlands $49,095
• Spain - $35,423.00
• France - $44,284
• Ukraine - $28,990
• India - $9,843
• Sweden - $55,173
• Singapore - $43,801

In context of software developer wage rates, the United States continues to lead. In high-tech cities like San Francisco and New York, average React developer salaries will hit $98K and $114per year, overall.

However, the need for React.js and React Native developer is outpacing local labour markets. As a result, many businesses have difficulty locating and recruiting them locally.

It’s no surprise that for US and European companies looking for professional and budget engineers, offshore regions like India are becoming especially interesting. This area has a large number of app development companies, a good rate with quality, and a good pool of React.js front-end developers.

As per Linkedin, the country’s IT industry employs over a million React specialists. Furthermore, for the same or less money than hiring a React.js programmer locally, you may recruit someone with much expertise and a broader technical stack.

How to Hire React.js Developers?

• Conduct thorough candidate research, including portfolios and areas of expertise.
• Before you sit down with your interviewing panel, do some homework.
• Examine the final outcome and hire the ideal candidate.

Why is React.js Popular?

React is a very strong framework. React.js makes use of a powerful synchronization method known as Virtual DOM, which compares the current page architecture to the expected page architecture and updates the appropriate components as long as the user input.

React is scalable. it utilises a single language, For server-client side, and mobile platform.

React is steady.React.js is completely adaptable, which means it seldom, if ever, updates the user interface. This enables legacy projects to be updated to the most new edition of React.js without having to change the codebase or make a few small changes.

React is adaptable. It can be conveniently paired with various state administrators (e.g., Redux, Flux, Alt or Reflux) and can be used to implement a number of architectural patterns.

Is there a market for React.js programmers?
The need for React.js developers is rising at an unparalleled rate. React.js is currently used by over one million websites around the world. React is used by Fortune 400+ businesses and popular companies such as Facebook, Twitter, Glassdoor and Cloudflare.

Final thoughts:

As you’ve seen, locating and Hire React js Developer and Hire React Native developer is a difficult challenge. You will have less challenges selecting the correct fit for your projects if you identify growing offshore locations (e.g. India) and take into consideration the details above.

If you want to make this process easier, You can visit our website for more, or else to write a email, we’ll help you to finding top rated React.js and React Native developers easier and with strives to create this operation

#hire-react-js-developer #hire-react-native-developer #react #react-native #react-js #hire-react-js-programmer

 Component Life Cycle in React

Every component in React goes through a lifecycle of events. You can think is of going through a cycle of birth, growth, and death the same as the picture below.

The phases are:

• Initialization — Starting the journey of your component
• Mounting — Birth of your component
• Update — Growth of your component
• Unmount — Death of your component

1. Initialization

This is the phase in which the component is going to start its journey. The developer has to define the props and initial state of the component. This is usually done inside the constructor method (see below to understand the initialization phase better).

#react #react-lifecycle-method #react-course #react-for-beginner #react-js-tutorials