#but for that to be your default method of analysis is lazy

[strunmah-mah]

Was poking around in the Wonder Woman tag to see what the general consensuses is on the new run. And I keep seeing screen shots of the narration boxes captioned with stuff like "look at Tom King's trash opinions on the amazons" And like . . .

Y'all know those are the Sovereign's opinions right? Not Tom King's? You understand the difference between a character and a writer? And that since the Sovereign's weapon of choice is The Lasso of Lies that he probably shouldn't be considered a reliable narrator? It's literally his job to make the Amazons look bad.

[almukhtar121035]

assignment 2

ID:121035

Number of words :1245

Date:31/5/2020

cource code :26

Name of the course :Issue of mass communication

an introduction :

In this spring semester of college 2020, I studied with media students media issues in English with Dr. Sonia Nelson

I will talk about this assignment in particular about this subject and about the topics that I studied during this semester from its inception until the end of it during our studies on campus and then we completed distance studies at home. I will talk about this material extensively and in detail

I will link the topics of Templar to each other and talk about them

At the beginning of this assignment, I will talk about the lectures on the model, then I will talk about the topics of Tumblr, and then I will talk about the interconnectedness between them and my benefit from the material

The first lecture talks about critical thinking.

Critical thinking is a process that challenges an individual to use it

Reflection, reasonable, and rational thinking to collect, interpret, and evaluate information in order to extract judgment.

In order to demonstrate critical thinking, students need to develop skills in: interpretation, analysis, logic, and assessment

The importance of critical thinking at the university:

In general, students who develop critical thinking skills are more able to achieve better scores, becoming less dependent on teachers, textbooks, and knowledge creation.

The second lecture talks about understanding the media.

It is an attempt to gain a critical understanding of the media by asking embarrassing (difficult and stubborn) questions.

The challenge is to engage critically with the everyday media world in which we live, such as asking questions about the media

in politics.

The media provides a forum for discussion and a set of channels for policy-making, interest groups, and government agents with the means of advertising and influencing , The media is the main channel for cultural representation and expression, and the primary source of identity pictures.

By asking important questions, we can gain new insights into a completely familiar world.

The third lecture talks about the media: the agent of transformation and social changes

At the macro level, the media is an important factor in transformation and social change.

The media played and continues to play an important role in transforming societies from traditional to modern and from modern to post-modern.

Targets and drives: Targets constitute information processing tasks by defining what is filtered and what is being ignored.

• The more aware you are of your goals, the more able you will be to direct the search for information - however, if your focus is poor (not familiar with certain goals and your engine power is low), then you will default to media control.

In the fourth lecture, we spoke about combating cleansing and misinformation

Media and Information Outreach Concept 121 (MIL) to understand news as a way to uncover "information disruption" in clear and sub-emotional messages.

MIL is increasingly an essential life skill - it is necessary to know what is involved in shaping one's identity and how one can navigate the haze of information and avoid the mines hidden in the haze.

The MIL program informs our consumption, production, discovery, evaluation, and sharing of information, and our understanding of ourselves and others in the information society.

The first part of the fifth lecture talks about media culture

(Methods, questions and evaluation of information

Evaluation information)

Information is now available in many forms for this reason. It is very important for students to know the appropriate ways to evaluate information and improve media literacy.

• Media literacy provides the tools necessary to recognize that "where" and "how" choices are made.

• This awareness can help the student to develop from a negative vessel to an active reactor that breaks down the packaged message and examines its contents and design.

The second part of the fifth lecture talks about agencies and responsibilities.

Attention to the impact of the media on individuals and society.

The hypothesis that media representation is not just a mirror of society but rather rather very selective and structured images.

Historically, the vast majority of psychological research on the media has been related to television.

• Recently, there has been an increase in research in response to concerns about the effects of violent video games and exposure to the Internet.

from studying

• The paper begins with a review of psychological theories that attempt to explain how exposure to television may lead to changes in values, beliefs, attitudes, and behaviors.

The sixth lecture talks about the history of the media, the power of the media.

Our understanding of the media should be placed in a historical context.

Estimating the history of the media allows us to reflect not only on changes and developments in media technologies.

The second part of the sixth lecture talks about how to help yourself increase your understanding of the media.

You need to develop a control strategy

About the process of influence currently dominated by the media.

Boost your personal focus:

- You must be clear about your goals.

Once you clearly understand what your goals are, you need to analyze your driving energy to achieve your goals.

The seventh lecture talks about marking.

Theory of Signs - David Shulman

Poster theory (also referred to as societal reaction theory) analyzes how social groups create and apply definitions of deviant behavior.

The second part of the seventh lecture talks about the second bias

Liberal bias

Sometimes liberal bias reflects a conscious choice by the reporter or editor. Sometimes it stems from laziness.

In the last part of the seventh lecture he talks about bias in the media

My party_constructive

• For citizens and consumers of information (who are one on the same day), it is important to develop the skill of detecting bias.

In the eighth lecture we talked about here comes the newest

The old model is replaced ...

New tools and communication platforms that have changed the world we live in.

In the second part of the eighth lecture we talked about misleading coronavCOVID-1

Social media was forced to take a more active stance against media misinformation during COVID-19

Lecture 9 We talked about cartooning as an information medium

Visual novels, such as comics and cartoons, are becoming increasingly popular as a tool for science education and communication.

The first part of the tenth lecture talks about challenges for the media

• The media is undergoing a profound transformation

• Technology driven

Social Change

• A consumer of segmented media

The last lecture talks about the spread of information - interconnected

The interconnected nature of our society and globalized economy, and the continuous spread of information on many media platforms, quickly transformed a public health event - the Coruna virus into a global political, economic, psychological and social crisis of legendary proportions.

Templar topics

The doctor assigned us several assignments that we make on the Tumblr program on a weekly basis, among which is a video that we designed and sent via e-mail and Tumblr. These topics are as follows:

Disinformation

Cognitive strategies in media

Communication used in War

Selfie and narcissism - fame online

Hate Speech

THE ROLE OF MEDIA IN HEALTH EDUCATION

COMICS IN THE TIME OF COVID_19

Competition between media and social networks for ads.

Discussing two hypotheses

Perspectives about media ethics challenges

Conclusion :

I benefited a lot from this article and learned many things about various media issues

Writing in the English language improved and my understanding, comprehension, analysis and critical thinking skills developed with me

In conclusion, all thanks and appreciation to Dr. Sonia Nelson

#MASS2620_20 #Spring20 #SQURTV

[digitaldelacruz]

#SecurityFails

(Originally Appearing in the Manila Times 06SEP2017 - https://goo.gl/Z51obD)

INFORMATION on how to protect yourself from the ruthless cybercriminals and hackers in the cyber world is abundant. How-tos, podcasts, eBooks, audio and video tutorials are everywhere. There is so much information readily available today than at any point in man’s history, all part of the myriad benefits brought forth by the magical Internet. We have enough people and materials telling us what to do so as not to be a victim and yet we still fall short either because of ignorance, stupidity, or sometimes just plain bad luck. Whatever the reason, an alternate but surefire and effective way to develop awareness is to learn both from your own mistakes and the mistakes of others. In this edition, I will be sharing some of the security fails I have come across in my life as an information security professional.As one security professional narrated, “I have walked over a land mine, and this is how I lost my legs”. Nothing like real-life experiences to teach you not to be secured.

Not changing default passwords. 

From high-end network and computing gear to your WiFi router at home, there is always a ‘starter’ password. I have gotten into many wireless routers and consequently free WiFi because people are either too lazy or don’t know how to go about it. To give you an idea and for educational purposes, the default WiFi password of one of our well-known local internet service provider goes about this format: ABCDWIFI12345 (internet provider name +”WIFI”+ the last five digits of your router’s MAC address) – this information and even the default administrator account and password is available via good old Google search. BTW, almost all of the well-known router brands default passwords are there as well.

Ignoring Common Sense. 

In the late 2016 survey by conducted by Freidrick-Alexander University, they found that 76 percent of their respondents claim to be aware of the risks of unknown links and yet still clicked anyway. If it’s too good to be true, then it is probably not. Receiving prizes from contests that you didn’t join, packages or goods that you never ordered, friend of a friend of a friend – these are all warning signs that you shouldn’t ignore. If in doubt, DO NOT. It takes a small amount of effort to verify an email or a service especially today when we have all these advanced communication methods at our fingertips.

Not Updating (Patching). 

Software is made by programmers, i.e. humans and hence by that very nature, prone to mistakes. In this case, programming bugs which, if implications in security occur, becomes a vulnerability. Updating or patching is the method to which corrections can be applied and hence new versions are produced. Unless there is a significant impact on the operation of the application, updating or patching should be mandatory. Un-patched or dated software is the single most frequent and very important reason why hacks and intrusions occur. It should be on the very top of every security mitigation list.

Giving administrator accounts. Software or programs inherit the rights and access level of the user who runs them. If the user has administrative level access, then the program executes with the same level of security. Certain applications legitimately need administrative levels to run and perform their intended action but what if a malicious software (Malware) manages to use the administrative account? You now have a rogue application roaming around with super user privileges. The possibility of compromise becomes wider in scale and deeper in implications.

Disabling logging.Yes, it can eat up storage space and it is much easier to turn off and forget all about it rather than allocate time and effort to maintain it. Besides, with that amount of information, who has the patience to review and go over it? That’s typically what some IT people would say, but make no mistake about it, logs are your best friend where everything else fails. This is the only source of data that can help you shed light on security incidents, who accessed what when, as well as records of device events and incidents. Unless you are continually capturing the packetsof traffic going in and out of your network (which are a hundred times more voluminous and harder to decode), logs are your best source of ‘after the fact’ data for forensic analysis and evidence.

Bragging about your security system.This is a classic mistake usually attributed to individuals or security engineers that have too much ‘air up there’. For whatever purpose, it maybe, whether to assure management or clients, please never ever brag about how secure your systems are, and how much high-tech expensive security hardware and software you have, especially in public or in the press. Hackers would take that head on with a “challenge accepted” thought balloon over their heads. To them, it is an explicit and open invitation short of putting a ‘Hack Me’ sign on your forehead.

Not educating your users. Creating a secure computing environment is not just an IT or security group’s concern, it is everybody’s business. Just as you train your IT and InfoSec personnel, so should you make aware your end-users. A well-informed end user contributes immensely to the success of any information security strategy.Ignoring common sense is one thing but voluntarily choosing to be ignorant is unforgivable.

[riichardwilson]

Methods Of Improving And Optimizing Performance In React Apps

About The Author

Shedrack Akintayo is a software engineer from Lagos, Nigeria, who has a love for community building, open source and creating content and tech for the next … More about Shedrack …

Since React was introduced, it has transformed the way front-end developers build web applications, and its virtual DOM is famous for effectively rendering components. In this tutorial, we will discuss various methods of optimizing performance in React applications, and also the features of React that we can use to improve performance.

React enables web applications to update their user interfaces (UIs) quickly, but that does not mean your medium or large React application will perform efficiently. Its performance will depend on how you use React when building it, and on your understanding of how React operates and the process through which components live through the various phases of their lifecycle. React offers a lot of performance improvements to a web app, and you can achieve these improvements through various techniques, features, and tools.

In this tutorial, we will discuss various methods of optimizing performance in React applications, and also the features of React that we can use to improve performance.

Where To Start Optimizing Performance In A React Application?

We can’t begin to optimize an app without knowing exactly when and where to optimize. You might be asking, “Where do we start?”

During the initial rendering process, React builds a DOM tree of components. So, when data changes in the DOM tree, we want React to re-render only those components that were affected by the change, skipping the other components in the tree that were not affected.

However, React could end up re-rendering all components in the DOM tree, even though not all are affected. This will result in longer loading time, wasted time, and even wasted CPU resources. We need to prevent this from happening. So, this is where we will focus our optimization effort.

In this situation, we could configure every component to only render or diff when necessary, to avoid wasting resources and time.

Measuring Performance

Never start the optimization process of your React application based on what you feel. Instead, use the measurement tools available to analyze the performance of your React app and get a detailed report of what might be slowing it down.

Analyzing React Components With Chrome’s Performance Tab

According to React’s documentation,, while you’re still in development mode, you can use the “Performance” tab in the Chrome browser to visualize how React components mount, update, and unmount. For example, the image below shows Chrome’s “Performance” tab profiling and analyzing my blog in development mode.

Performance profiler summary (Large preview)

To do this, follow these steps:

Disable all extensions temporarily, especially React Developer Tools, because they can mess with the result of the analysis. You can easily disable extensions by running your browser in incognito mode.

Make sure the application is running in development mode. That is, the application should be running on your localhost.

Open Chrome’s Developer Tools, click on the “Performance” tab, and then click the “Record” button.

Perform the actions you want to profile. Don’t record more than 20 seconds, or else Chrome might hang.

Stop the recording.

React events will be grouped under the “User Timing” label.

The numbers from the profiler are relative. Most times and components will render more quickly in production. Nevertheless, this should help you to figure out when the UI is updated by mistake, as well as how deep and how often the UI updates occur.

React Developer Tools Profiler

According to React’s documentation, in react-dom 16.5+ and react-native 0.57+, enhanced profiling capabilities are available in developer mode using React Developer Tools Profiler. The profiler uses React’s experimental Profiler API to collate timing information about each component that’s rendered, in order to identify performance bottlenecks in a React application.

Just download React Developer Tools for your browser, and then you can use the profiler tool that ships with it. The profiler can only be used either in development mode or in the production-profiling build of React v16.5+. The image below is the profiler summary of my blog in development mode using React Developer Tools Profiler:

React Developer Tools Profiler flamegraph (Large preview)

To achieve this, follow these steps:

Download React Developer Tools.

Make sure your React application is either in development mode or in the production-profiling build of React v16.5+.

Open Chrome’s “Developer Tools” tab. A new tab named “Profiler” will be available, provided by React Developer Tools.

Click the “Record” button, and perform the actions you want to profile. Ideally, stop recording after you have performed the actions you want to profile.

A graph (known as a flamegraph) will appear with all of the event handlers and components of your React app.

Note: See the documentation for more information.

Memoization With React.memo()

React v16 was released with an additional API, a higher-order component called React.memo(). According to the documentation, this exists only as a performance optimization.

Its name, “memo” comes from memoization, which is basically a form of optimization used mainly to speed up code by storing the results of expensive function calls and returning the stored result whenever the same expensive function is called again.

Memoization is a technique for executing a function once, usually a pure function, and then saving the result in memory. If we try to execute that function again, with the same arguments as before, it will just return the previously saved result from the first function’s execution, without executing the function again.

Mapping the description above to the React ecosystem, the functions mentioned are React components and the arguments are props.

The default behavior of a component declared using React.memo() is that it renders only if the props in the component have changed. It does a shallow comparison of the props to check this, but an option is available to override this.

React.memo() boosts the performance of a React app by avoiding re-rendering components whose props haven’t changed or when re-rendering is not needed.

The code below is the basic syntax of React.memo():

const MemoizedComponent = React.memeo((props) => { // Component code goes in here })

When To Use React.memo()

Pure functional component You can use React.memo() if your component is functional, is given the same props, and always renders the same output. You can also use React.memo() on non-pure-functional components with React hooks.

The component renders often You can use React.memo() to wrap a component that renders often.

The component re-renders with same props Use React.memo() to wrap a component that is usually provided with the same props during re-rendering.

Medium to high elements Use it for a component that contains a medium to high number of UI elements to check props for equality.

Note: Be careful when memoizing components that make use of props as callbacks. Be sure to use the same callback function instance between renderings. This is because the parent component could provide different instances of the callback function on every render, which will cause the memoization process to break. To fix this, make sure that the memoized component always receives the same callback instance.

Let’s see how we can use memoization in a real-world situation. The functional component below, called “Photo”, uses React.memo() to prevent re-rendering.

export function Photo({ title, views }) { return ( <div> <div>Photo title: {title}</div> <div>Location: {location}</div> </div> ); } // memoize the component export const MemoizedPhoto = React.memo(Photo);

The code above consists of a functional component that displays a div containing a photo title and the location of the subject in the photo. We are also memoizing the component by creating a new function and calling it MemoizedPhoto. Memoizing the photo component will prevent the component from re-rendering as long as the props, title, and location are the same on subsequent renderings.

// On first render, React calls MemoizedPhoto function. <MemoizedPhoto title="Effiel Tower" location="Paris" /> // On next render, React does not call MemoizedPhoto function, // preventing rendering <MemoizedPhoto title="Effiel Tower" location="Paris" />

Here, React calls the memoized function only once. It won’t render the component in the next call as long as the props remain the same.

Bundling And Minification

In React single-page applications, we can bundle and minify all our JavaScript code into a single file. This is OK, as long as our application is relatively small.

As our React application grows, bundling and minifying all of our JavaScript code into a single file becomes problematic, difficult to understand, and tedious. It will also affect the performance and loading time of our React app because we are sending a large JavaScript file to the browser. So, we need some process to help us split the code base into various files and deliver them to the browser in intervals as needed.

In a situation like this, we can use some form of asset bundler like Webpack, and then leverage its code-splitting functionality to split our application into multiple files.

Code-splitting is suggested in Webpack’s documentation as a means to improve the loading time of an application. It is also suggested in React’s documentation for lazy-loading (serving only the things currently needed by the user), which can dramatically improve performance.

Webpack suggests three general approaches to code-splitting:

Entry points Manually split code using entry configuration.

Duplication prevention Use SplitChunksPlugin to de-duplicate and split chunks.

Dynamic imports Split code via inline function calls within modules.

Benefits Of Code Splitting

Splitting code assists with the browser’s cache resources and with code that doesn’t change often.

It also helps the browser to download resources in parallel, which reduces the overall loading time of the application.

It enables us to split code into chunks that will be loaded on demand or as needed by the application.

It keeps the initial downloading of resources on first render relatively small, thereby reducing the loading time of the app.

Bundling and minification process (Large preview)

Immutable Data Structures

React’s documentation talks of the power of not mutating data. Any data that cannot be changed is immutable. Immutability is a concept that React programmers should understand.

An immutable value or object cannot be changed. So, when there is an update, a new value is created in memory, leaving the old one untouched.

We can use immutable data structures and React.PureComponent to automatically check for a complex state change. For example, if the state in your application is immutable, you can actually save all state objects in a single store with a state-management library like Redux, enabling you to easily implement undo and redo functionality.

Don’t forget that we cannot change immutable data once it’s created.

Benefits Of Immutable Data Structures

They have no side effects.

Immutable data objects are easy to create, test, and use.

They help us to write logic that can be used to quickly check for updates in state, without having to check the data over and over again.

They help to prevent temporal coupling (a type of coupling in which code depends on the order of execution).

The following libraries help to provide a set of immutable data structures:

immutability-helper Mutate a copy of data without changing the source.

Immutable.js Immutable persistent data collections for JavaScript increase efficiency and simplicity.

seamless-immutable Immutable data structures for JavaScript become backwards-compatible with normal JavaScript arrays and objects.

React-copy-write This gives immutable state with a mutable API.

Other Methods Of Improving Performance

Use A Production Build Before Deployment

React’s documentation suggests using the minified production build when deploying your app.

React Developer Tools’ “production build” warning (Large preview)

Avoid Anonymous Functions

Because anonymous functions aren’t assigned an identifier (via const/let/var), they aren’t persistent whenever a component inevitably gets rendered again. This causes JavaScript to allocate new memory each time this component is re-rendered, instead of allocating a single piece of memory only once, like when named functions are being used.

import React from 'react'; // Don’t do this. class Dont extends Component { render() { return ( <button onClick={() => console.log('Do not do this')}> Don’t </button> ); } } // The better way class Do extends Component { handleClick = () => { console.log('This is OK'); } render() { return ( <button onClick={this.handleClick}> Do </button> ); } }

The code above shows two different ways to make a button perform an action on click. The first code block uses an anonymous function in the onClick() prop, and this would affect performance. The second code block uses a named function in the onClick() function, which is the correct way in this scenario.

Mounting And Unmounting Components Often Is Expensive

Using conditionals or tenaries to make a component disappear (i.e. to unmount it) is not advisable, because the component made to disappear will cause the browser to repaint and reflow. This is an expensive process because the positions and geometries of HTML elements in the document will have to be recalculated. Instead, we can use CSS’ opacity and visibility properties to hide the component. This way, the component will still be in the DOM but invisible, without any performance cost.

Virtualize Long Lists

The documentation suggests that if you are rendering a list with a large amount of data, you should render a small portion of the data in the list at a time within the visible viewport. Then, you can render more data as the list is being scrolled; hence, the data is displayed only when it is in the viewport. This process is called “windowing”. In windowing, a small subset of rows are rendered at any given time. There are popular libraries for doing this, two of which are maintained by Brian Vaughn:

Conclusion

There are several other methods of improving the performance of your React application. This article has discussed the most important and effective methods of performance optimization.

I hope you’ve enjoyed reading through this tutorial. You can learn more via the resources listed below. If you have any questions, leave them in the comments section below. I’ll be happy to answer every one of them.

References And Related Resources

(ks, ra, al, il)

Website Design & SEO Delray Beach by DBL07.co

Delray Beach SEO

source http://www.scpie.org/methods-of-improving-and-optimizing-performance-in-react-apps/ source https://scpie.tumblr.com/post/623913045691973632

[scpie]

Methods Of Improving And Optimizing Performance In React Apps

About The Author

Shedrack Akintayo is a software engineer from Lagos, Nigeria, who has a love for community building, open source and creating content and tech for the next … More about Shedrack …

Since React was introduced, it has transformed the way front-end developers build web applications, and its virtual DOM is famous for effectively rendering components. In this tutorial, we will discuss various methods of optimizing performance in React applications, and also the features of React that we can use to improve performance.

React enables web applications to update their user interfaces (UIs) quickly, but that does not mean your medium or large React application will perform efficiently. Its performance will depend on how you use React when building it, and on your understanding of how React operates and the process through which components live through the various phases of their lifecycle. React offers a lot of performance improvements to a web app, and you can achieve these improvements through various techniques, features, and tools.

In this tutorial, we will discuss various methods of optimizing performance in React applications, and also the features of React that we can use to improve performance.

Where To Start Optimizing Performance In A React Application?

We can’t begin to optimize an app without knowing exactly when and where to optimize. You might be asking, “Where do we start?”

During the initial rendering process, React builds a DOM tree of components. So, when data changes in the DOM tree, we want React to re-render only those components that were affected by the change, skipping the other components in the tree that were not affected.

However, React could end up re-rendering all components in the DOM tree, even though not all are affected. This will result in longer loading time, wasted time, and even wasted CPU resources. We need to prevent this from happening. So, this is where we will focus our optimization effort.

In this situation, we could configure every component to only render or diff when necessary, to avoid wasting resources and time.

Measuring Performance

Never start the optimization process of your React application based on what you feel. Instead, use the measurement tools available to analyze the performance of your React app and get a detailed report of what might be slowing it down.

Analyzing React Components With Chrome’s Performance Tab

According to React’s documentation,, while you’re still in development mode, you can use the “Performance” tab in the Chrome browser to visualize how React components mount, update, and unmount. For example, the image below shows Chrome’s “Performance” tab profiling and analyzing my blog in development mode.

Performance profiler summary (Large preview)

To do this, follow these steps:

Disable all extensions temporarily, especially React Developer Tools, because they can mess with the result of the analysis. You can easily disable extensions by running your browser in incognito mode.

Make sure the application is running in development mode. That is, the application should be running on your localhost.

Open Chrome’s Developer Tools, click on the “Performance” tab, and then click the “Record” button.

Perform the actions you want to profile. Don’t record more than 20 seconds, or else Chrome might hang.

Stop the recording.

React events will be grouped under the “User Timing” label.

The numbers from the profiler are relative. Most times and components will render more quickly in production. Nevertheless, this should help you to figure out when the UI is updated by mistake, as well as how deep and how often the UI updates occur.

React Developer Tools Profiler

According to React’s documentation, in react-dom 16.5+ and react-native 0.57+, enhanced profiling capabilities are available in developer mode using React Developer Tools Profiler. The profiler uses React’s experimental Profiler API to collate timing information about each component that’s rendered, in order to identify performance bottlenecks in a React application.

Just download React Developer Tools for your browser, and then you can use the profiler tool that ships with it. The profiler can only be used either in development mode or in the production-profiling build of React v16.5+. The image below is the profiler summary of my blog in development mode using React Developer Tools Profiler:

React Developer Tools Profiler flamegraph (Large preview)

To achieve this, follow these steps:

Download React Developer Tools.

Make sure your React application is either in development mode or in the production-profiling build of React v16.5+.

Open Chrome’s “Developer Tools” tab. A new tab named “Profiler” will be available, provided by React Developer Tools.

Click the “Record” button, and perform the actions you want to profile. Ideally, stop recording after you have performed the actions you want to profile.

A graph (known as a flamegraph) will appear with all of the event handlers and components of your React app.

Note: See the documentation for more information.

Memoization With React.memo()

React v16 was released with an additional API, a higher-order component called React.memo(). According to the documentation, this exists only as a performance optimization.

Its name, “memo” comes from memoization, which is basically a form of optimization used mainly to speed up code by storing the results of expensive function calls and returning the stored result whenever the same expensive function is called again.

Memoization is a technique for executing a function once, usually a pure function, and then saving the result in memory. If we try to execute that function again, with the same arguments as before, it will just return the previously saved result from the first function’s execution, without executing the function again.

Mapping the description above to the React ecosystem, the functions mentioned are React components and the arguments are props.

The default behavior of a component declared using React.memo() is that it renders only if the props in the component have changed. It does a shallow comparison of the props to check this, but an option is available to override this.

React.memo() boosts the performance of a React app by avoiding re-rendering components whose props haven’t changed or when re-rendering is not needed.

The code below is the basic syntax of React.memo():

const MemoizedComponent = React.memeo((props) => { // Component code goes in here })

When To Use React.memo()

Pure functional component You can use React.memo() if your component is functional, is given the same props, and always renders the same output. You can also use React.memo() on non-pure-functional components with React hooks.

The component renders often You can use React.memo() to wrap a component that renders often.

The component re-renders with same props Use React.memo() to wrap a component that is usually provided with the same props during re-rendering.

Medium to high elements Use it for a component that contains a medium to high number of UI elements to check props for equality.

Note: Be careful when memoizing components that make use of props as callbacks. Be sure to use the same callback function instance between renderings. This is because the parent component could provide different instances of the callback function on every render, which will cause the memoization process to break. To fix this, make sure that the memoized component always receives the same callback instance.

Let’s see how we can use memoization in a real-world situation. The functional component below, called “Photo”, uses React.memo() to prevent re-rendering.

export function Photo({ title, views }) { return ( <div> <div>Photo title: {title}</div> <div>Location: {location}</div> </div> ); } // memoize the component export const MemoizedPhoto = React.memo(Photo);

The code above consists of a functional component that displays a div containing a photo title and the location of the subject in the photo. We are also memoizing the component by creating a new function and calling it MemoizedPhoto. Memoizing the photo component will prevent the component from re-rendering as long as the props, title, and location are the same on subsequent renderings.

// On first render, React calls MemoizedPhoto function. <MemoizedPhoto title="Effiel Tower" location="Paris" /> // On next render, React does not call MemoizedPhoto function, // preventing rendering <MemoizedPhoto title="Effiel Tower" location="Paris" />

Here, React calls the memoized function only once. It won’t render the component in the next call as long as the props remain the same.

Bundling And Minification

In React single-page applications, we can bundle and minify all our JavaScript code into a single file. This is OK, as long as our application is relatively small.

As our React application grows, bundling and minifying all of our JavaScript code into a single file becomes problematic, difficult to understand, and tedious. It will also affect the performance and loading time of our React app because we are sending a large JavaScript file to the browser. So, we need some process to help us split the code base into various files and deliver them to the browser in intervals as needed.

In a situation like this, we can use some form of asset bundler like Webpack, and then leverage its code-splitting functionality to split our application into multiple files.

Code-splitting is suggested in Webpack’s documentation as a means to improve the loading time of an application. It is also suggested in React’s documentation for lazy-loading (serving only the things currently needed by the user), which can dramatically improve performance.

Webpack suggests three general approaches to code-splitting:

Entry points Manually split code using entry configuration.

Duplication prevention Use SplitChunksPlugin to de-duplicate and split chunks.

Dynamic imports Split code via inline function calls within modules.

Benefits Of Code Splitting

Splitting code assists with the browser’s cache resources and with code that doesn’t change often.

It also helps the browser to download resources in parallel, which reduces the overall loading time of the application.

It enables us to split code into chunks that will be loaded on demand or as needed by the application.

It keeps the initial downloading of resources on first render relatively small, thereby reducing the loading time of the app.

Bundling and minification process (Large preview)

Immutable Data Structures

React’s documentation talks of the power of not mutating data. Any data that cannot be changed is immutable. Immutability is a concept that React programmers should understand.

An immutable value or object cannot be changed. So, when there is an update, a new value is created in memory, leaving the old one untouched.

We can use immutable data structures and React.PureComponent to automatically check for a complex state change. For example, if the state in your application is immutable, you can actually save all state objects in a single store with a state-management library like Redux, enabling you to easily implement undo and redo functionality.

Don’t forget that we cannot change immutable data once it’s created.

Benefits Of Immutable Data Structures

They have no side effects.

Immutable data objects are easy to create, test, and use.

They help us to write logic that can be used to quickly check for updates in state, without having to check the data over and over again.

They help to prevent temporal coupling (a type of coupling in which code depends on the order of execution).

The following libraries help to provide a set of immutable data structures:

immutability-helper Mutate a copy of data without changing the source.

Immutable.js Immutable persistent data collections for JavaScript increase efficiency and simplicity.

seamless-immutable Immutable data structures for JavaScript become backwards-compatible with normal JavaScript arrays and objects.

React-copy-write This gives immutable state with a mutable API.

Other Methods Of Improving Performance

Use A Production Build Before Deployment

React’s documentation suggests using the minified production build when deploying your app.

React Developer Tools’ “production build” warning (Large preview)

Avoid Anonymous Functions

Because anonymous functions aren’t assigned an identifier (via const/let/var), they aren’t persistent whenever a component inevitably gets rendered again. This causes JavaScript to allocate new memory each time this component is re-rendered, instead of allocating a single piece of memory only once, like when named functions are being used.

import React from 'react'; // Don’t do this. class Dont extends Component { render() { return ( <button onClick={() => console.log('Do not do this')}> Don’t </button> ); } } // The better way class Do extends Component { handleClick = () => { console.log('This is OK'); } render() { return ( <button onClick={this.handleClick}> Do </button> ); } }

The code above shows two different ways to make a button perform an action on click. The first code block uses an anonymous function in the onClick() prop, and this would affect performance. The second code block uses a named function in the onClick() function, which is the correct way in this scenario.

Mounting And Unmounting Components Often Is Expensive

Using conditionals or tenaries to make a component disappear (i.e. to unmount it) is not advisable, because the component made to disappear will cause the browser to repaint and reflow. This is an expensive process because the positions and geometries of HTML elements in the document will have to be recalculated. Instead, we can use CSS’ opacity and visibility properties to hide the component. This way, the component will still be in the DOM but invisible, without any performance cost.

Virtualize Long Lists

The documentation suggests that if you are rendering a list with a large amount of data, you should render a small portion of the data in the list at a time within the visible viewport. Then, you can render more data as the list is being scrolled; hence, the data is displayed only when it is in the viewport. This process is called “windowing”. In windowing, a small subset of rows are rendered at any given time. There are popular libraries for doing this, two of which are maintained by Brian Vaughn:

Conclusion

There are several other methods of improving the performance of your React application. This article has discussed the most important and effective methods of performance optimization.

I hope you’ve enjoyed reading through this tutorial. You can learn more via the resources listed below. If you have any questions, leave them in the comments section below. I’ll be happy to answer every one of them.

References And Related Resources

(ks, ra, al, il)

Website Design & SEO Delray Beach by DBL07.co

Delray Beach SEO

source http://www.scpie.org/methods-of-improving-and-optimizing-performance-in-react-apps/

[laurelkrugerr]

Methods Of Improving And Optimizing Performance In React Apps

About The Author

Shedrack Akintayo is a software engineer from Lagos, Nigeria, who has a love for community building, open source and creating content and tech for the next … More about Shedrack …

Since React was introduced, it has transformed the way front-end developers build web applications, and its virtual DOM is famous for effectively rendering components. In this tutorial, we will discuss various methods of optimizing performance in React applications, and also the features of React that we can use to improve performance.

React enables web applications to update their user interfaces (UIs) quickly, but that does not mean your medium or large React application will perform efficiently. Its performance will depend on how you use React when building it, and on your understanding of how React operates and the process through which components live through the various phases of their lifecycle. React offers a lot of performance improvements to a web app, and you can achieve these improvements through various techniques, features, and tools.

In this tutorial, we will discuss various methods of optimizing performance in React applications, and also the features of React that we can use to improve performance.

Where To Start Optimizing Performance In A React Application?

We can’t begin to optimize an app without knowing exactly when and where to optimize. You might be asking, “Where do we start?”

During the initial rendering process, React builds a DOM tree of components. So, when data changes in the DOM tree, we want React to re-render only those components that were affected by the change, skipping the other components in the tree that were not affected.

However, React could end up re-rendering all components in the DOM tree, even though not all are affected. This will result in longer loading time, wasted time, and even wasted CPU resources. We need to prevent this from happening. So, this is where we will focus our optimization effort.

In this situation, we could configure every component to only render or diff when necessary, to avoid wasting resources and time.

Measuring Performance

Never start the optimization process of your React application based on what you feel. Instead, use the measurement tools available to analyze the performance of your React app and get a detailed report of what might be slowing it down.

Analyzing React Components With Chrome’s Performance Tab

According to React’s documentation,, while you’re still in development mode, you can use the “Performance” tab in the Chrome browser to visualize how React components mount, update, and unmount. For example, the image below shows Chrome’s “Performance” tab profiling and analyzing my blog in development mode.

Performance profiler summary (Large preview)

To do this, follow these steps:

Disable all extensions temporarily, especially React Developer Tools, because they can mess with the result of the analysis. You can easily disable extensions by running your browser in incognito mode.

Make sure the application is running in development mode. That is, the application should be running on your localhost.

Open Chrome’s Developer Tools, click on the “Performance” tab, and then click the “Record” button.

Perform the actions you want to profile. Don’t record more than 20 seconds, or else Chrome might hang.

Stop the recording.

React events will be grouped under the “User Timing” label.

The numbers from the profiler are relative. Most times and components will render more quickly in production. Nevertheless, this should help you to figure out when the UI is updated by mistake, as well as how deep and how often the UI updates occur.

React Developer Tools Profiler

According to React’s documentation, in react-dom 16.5+ and react-native 0.57+, enhanced profiling capabilities are available in developer mode using React Developer Tools Profiler. The profiler uses React’s experimental Profiler API to collate timing information about each component that’s rendered, in order to identify performance bottlenecks in a React application.

Just download React Developer Tools for your browser, and then you can use the profiler tool that ships with it. The profiler can only be used either in development mode or in the production-profiling build of React v16.5+. The image below is the profiler summary of my blog in development mode using React Developer Tools Profiler:

React Developer Tools Profiler flamegraph (Large preview)

To achieve this, follow these steps:

Download React Developer Tools.

Make sure your React application is either in development mode or in the production-profiling build of React v16.5+.

Open Chrome’s “Developer Tools” tab. A new tab named “Profiler” will be available, provided by React Developer Tools.

Click the “Record” button, and perform the actions you want to profile. Ideally, stop recording after you have performed the actions you want to profile.

A graph (known as a flamegraph) will appear with all of the event handlers and components of your React app.

Note: See the documentation for more information.

Memoization With React.memo()

React v16 was released with an additional API, a higher-order component called React.memo(). According to the documentation, this exists only as a performance optimization.

Its name, “memo” comes from memoization, which is basically a form of optimization used mainly to speed up code by storing the results of expensive function calls and returning the stored result whenever the same expensive function is called again.

Memoization is a technique for executing a function once, usually a pure function, and then saving the result in memory. If we try to execute that function again, with the same arguments as before, it will just return the previously saved result from the first function’s execution, without executing the function again.

Mapping the description above to the React ecosystem, the functions mentioned are React components and the arguments are props.

The default behavior of a component declared using React.memo() is that it renders only if the props in the component have changed. It does a shallow comparison of the props to check this, but an option is available to override this.

React.memo() boosts the performance of a React app by avoiding re-rendering components whose props haven’t changed or when re-rendering is not needed.

The code below is the basic syntax of React.memo():

const MemoizedComponent = React.memeo((props) => { // Component code goes in here })

When To Use React.memo()

Pure functional component You can use React.memo() if your component is functional, is given the same props, and always renders the same output. You can also use React.memo() on non-pure-functional components with React hooks.

The component renders often You can use React.memo() to wrap a component that renders often.

The component re-renders with same props Use React.memo() to wrap a component that is usually provided with the same props during re-rendering.

Medium to high elements Use it for a component that contains a medium to high number of UI elements to check props for equality.

Note: Be careful when memoizing components that make use of props as callbacks. Be sure to use the same callback function instance between renderings. This is because the parent component could provide different instances of the callback function on every render, which will cause the memoization process to break. To fix this, make sure that the memoized component always receives the same callback instance.

Let’s see how we can use memoization in a real-world situation. The functional component below, called “Photo”, uses React.memo() to prevent re-rendering.

export function Photo({ title, views }) { return ( <div> <div>Photo title: {title}</div> <div>Location: {location}</div> </div> ); } // memoize the component export const MemoizedPhoto = React.memo(Photo);

The code above consists of a functional component that displays a div containing a photo title and the location of the subject in the photo. We are also memoizing the component by creating a new function and calling it MemoizedPhoto. Memoizing the photo component will prevent the component from re-rendering as long as the props, title, and location are the same on subsequent renderings.

// On first render, React calls MemoizedPhoto function. <MemoizedPhoto title="Effiel Tower" location="Paris" /> // On next render, React does not call MemoizedPhoto function, // preventing rendering <MemoizedPhoto title="Effiel Tower" location="Paris" />

Here, React calls the memoized function only once. It won’t render the component in the next call as long as the props remain the same.

Bundling And Minification

In React single-page applications, we can bundle and minify all our JavaScript code into a single file. This is OK, as long as our application is relatively small.

As our React application grows, bundling and minifying all of our JavaScript code into a single file becomes problematic, difficult to understand, and tedious. It will also affect the performance and loading time of our React app because we are sending a large JavaScript file to the browser. So, we need some process to help us split the code base into various files and deliver them to the browser in intervals as needed.

In a situation like this, we can use some form of asset bundler like Webpack, and then leverage its code-splitting functionality to split our application into multiple files.

Code-splitting is suggested in Webpack’s documentation as a means to improve the loading time of an application. It is also suggested in React’s documentation for lazy-loading (serving only the things currently needed by the user), which can dramatically improve performance.

Webpack suggests three general approaches to code-splitting:

Entry points Manually split code using entry configuration.

Duplication prevention Use SplitChunksPlugin to de-duplicate and split chunks.

Dynamic imports Split code via inline function calls within modules.

Benefits Of Code Splitting

Splitting code assists with the browser’s cache resources and with code that doesn’t change often.

It also helps the browser to download resources in parallel, which reduces the overall loading time of the application.

It enables us to split code into chunks that will be loaded on demand or as needed by the application.

It keeps the initial downloading of resources on first render relatively small, thereby reducing the loading time of the app.

Bundling and minification process (Large preview)

Immutable Data Structures

React’s documentation talks of the power of not mutating data. Any data that cannot be changed is immutable. Immutability is a concept that React programmers should understand.

An immutable value or object cannot be changed. So, when there is an update, a new value is created in memory, leaving the old one untouched.

We can use immutable data structures and React.PureComponent to automatically check for a complex state change. For example, if the state in your application is immutable, you can actually save all state objects in a single store with a state-management library like Redux, enabling you to easily implement undo and redo functionality.

Don’t forget that we cannot change immutable data once it’s created.

Benefits Of Immutable Data Structures

They have no side effects.

Immutable data objects are easy to create, test, and use.

They help us to write logic that can be used to quickly check for updates in state, without having to check the data over and over again.

They help to prevent temporal coupling (a type of coupling in which code depends on the order of execution).

The following libraries help to provide a set of immutable data structures:

immutability-helper Mutate a copy of data without changing the source.

Immutable.js Immutable persistent data collections for JavaScript increase efficiency and simplicity.

seamless-immutable Immutable data structures for JavaScript become backwards-compatible with normal JavaScript arrays and objects.

React-copy-write This gives immutable state with a mutable API.

Other Methods Of Improving Performance

Use A Production Build Before Deployment

React’s documentation suggests using the minified production build when deploying your app.

React Developer Tools’ “production build” warning (Large preview)

Avoid Anonymous Functions

Because anonymous functions aren’t assigned an identifier (via const/let/var), they aren’t persistent whenever a component inevitably gets rendered again. This causes JavaScript to allocate new memory each time this component is re-rendered, instead of allocating a single piece of memory only once, like when named functions are being used.

import React from 'react'; // Don’t do this. class Dont extends Component { render() { return ( <button onClick={() => console.log('Do not do this')}> Don’t </button> ); } } // The better way class Do extends Component { handleClick = () => { console.log('This is OK'); } render() { return ( <button onClick={this.handleClick}> Do </button> ); } }

The code above shows two different ways to make a button perform an action on click. The first code block uses an anonymous function in the onClick() prop, and this would affect performance. The second code block uses a named function in the onClick() function, which is the correct way in this scenario.

Mounting And Unmounting Components Often Is Expensive

Using conditionals or tenaries to make a component disappear (i.e. to unmount it) is not advisable, because the component made to disappear will cause the browser to repaint and reflow. This is an expensive process because the positions and geometries of HTML elements in the document will have to be recalculated. Instead, we can use CSS’ opacity and visibility properties to hide the component. This way, the component will still be in the DOM but invisible, without any performance cost.

Virtualize Long Lists

The documentation suggests that if you are rendering a list with a large amount of data, you should render a small portion of the data in the list at a time within the visible viewport. Then, you can render more data as the list is being scrolled; hence, the data is displayed only when it is in the viewport. This process is called “windowing”. In windowing, a small subset of rows are rendered at any given time. There are popular libraries for doing this, two of which are maintained by Brian Vaughn:

Conclusion

There are several other methods of improving the performance of your React application. This article has discussed the most important and effective methods of performance optimization.

I hope you’ve enjoyed reading through this tutorial. You can learn more via the resources listed below. If you have any questions, leave them in the comments section below. I’ll be happy to answer every one of them.

References And Related Resources

(ks, ra, al, il)

Website Design & SEO Delray Beach by DBL07.co

Delray Beach SEO

source http://www.scpie.org/methods-of-improving-and-optimizing-performance-in-react-apps/ source https://scpie1.blogspot.com/2020/07/methods-of-improving-and-optimizing.html

[mobileexpressnow]

KOTLIN, Python, and React Native among the Top 10 Programming Languages to Look Out For in 2018

In our Mobile app development industry, if there is anything that grows at par with the continuous app entries in the stores and the frequent updates, it is the increasing number of programming languages to support the mushrooming.

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018. 

Swift 4.0

Java 8

KOTLIN

React Native

Python

R

Node.Js

Haskell

MATLAB

JavaScript

1. Swift 4.0

Swift 4 is based on the strong points of Swift 3, providing better stability and robustness, offering source code compatibility with the Swift 3 language. It has brought in enhancements to the library, and have additional features like serialization and archival. Taking iPhone app development companies to the next level.

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

Swift, in comparison to Objective-C is gaining popularity with each passing day (as you can see in the image below), and is expected to completely surpass Objective-C iOS app development language soon.

  2. Java 8

Java 8 is an upgrade to Java’s programming model and is a coordinated advancement of the Java language, JVM, and libraries. The language, which is used for Android app development includes features promoting ease of use, productivity, security, improved performance, and improved polyglot programming.

Features – 

Virtual Extension Methods and Lambda Expression

One of the most noteworthy features of the Java SE 8 language is its implementation of the Lambda expressions and the various related supporting features for both the platform and Java programming language.

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

3. Kotlin

The now official Google programming language, Kotlin is used for developing multi-platform applications. With the help of the language, one can create apps for JVM, Android, Native, and Browser. Since the announcement of it becoming the official language, Kotlin has been adopted by a number of companies for their apps. Since it’s very new in the industry, we recently wrote an article to help make it easy for the developers to make the switch from Java to Kotlin.

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features – 

Java Interoperability

Kotlin is 100% interoperable with Java, making it easy for the Java developers to learn the language. The platform gives the developers an option to paste their code and it converts the Java code into Kotlin’s.

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

4. React Native

React Native is the framework, which uses React to define the user interface for the native devices. With the help of React Native one can build applications, which runs on both iOS and Android devices using JavaScript.

Features – 

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

Its interface helps developers in looking into someone else’s project and building upon it. It gives the benefit of flexibility as it takes less time for the developers to understand the programming logic and edit it.

5. Python 

It is a general purpose language that has a variety of uses ranging from mathematical computing, such as – NumPy, SymPy, and Orange; Desktop Graphical UI – Panda3D, Pygame and in Web Development – Bottle and Django.

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

  Features –

Easy to Learn

The language has a simple and elegant syntax which is much easier to write and read as compared to the other programming languages like C#, Java, and C++. For a newbie it is every easy to start with Python solely because of its easy syntax.

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

Python has standard libraries which save developers’ time in writing all the code themselves. Suppose you want to connect MySQL database on the web server, now instead of writing the whole code by yourself, you can make use of the MySQLdb library.

6. R 

It is an open source program which is used to perform statistical operations. R is a command line driven program, meaning that developers enter command at the prompt and every command is implemented one at a time.

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

7. Node.Js 

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features – 

Event Driven

All APIs in the Node.js library are event driven, meaning the Node.js server doesn’t have to wait for the API to return data. Server moves to next API after calling it and the notification mechanism of the Node.js events help servers in getting a response from the last API call.

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

8. Haskell 

Haskell is a functional programming language. It is a first commercial language to enter the functional programming domain. It is a mix of a number of generalizable functions which define what a program is supposed to do., allowing the lower layers handle the mundane details such as iteration.

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

9. MATLAB

The proprietary programming language allows plotting of data and functions, matrix manipulations, development of user interfaces, implementation of algorithms, and interfacing with the programs written in the other languages that includes C++, C, C#, Fortran, Java, and Python.

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

10. JavaScript 

It allows developing applications for mobile, desktop and web, as well as build interactive websites. When compared to Python or Java, JavaScript is easier to learn and implement because of all of the accessible UI features. It has many convenient and flexible libraries, among which React.js, Angular.js, and Vue.js are the most trending ones.

JavaScript is one of the most used programming languages by developers, ranking on the top with 62.5% in the <a href=”http://ift.tt/2hvE0Qp; rel=”nofollow”>Stack Overflow Developer Survey</a> (as you can see in the graph given below).

  Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Just like many other scripting languages, JavaScript is dynamically typed. Here, a type is linked with each value and not just with each expression. Moreover, JavaScript includes an eval function that performs statements provided as strings at run-time.

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

JavaScript is nearly object-based with an object considered as an associative array, combined with a prototype. Each string in case of JavaScript serves the name for an object property, with two ways to specify the name. A property can be added, deleted or rebound at run-time, and most of the properties of an object can be computed using a for…in loop.

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post KOTLIN, Python, and React Native among the Top 10 Programming Languages to Look Out For in 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

[olumina]

KOTLIN, Python, and React Native among the Top 10 Programming Languages to Look Out For in 2018

In our Mobile app development industry, if there is anything that grows at par with the continuous app entries in the stores and the frequent updates, it is the increasing number of programming languages to support the mushrooming.

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018. 

Swift 4.0

Java 8

KOTLIN

React Native

Python

R

Node.Js

Haskell

MATLAB

JavaScript

1. Swift 4.0

Swift 4 is based on the strong points of Swift 3, providing better stability and robustness, offering source code compatibility with the Swift 3 language. It has brought in enhancements to the library, and have additional features like serialization and archival. Taking iPhone app development companies to the next level.

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

Swift, in comparison to Objective-C is gaining popularity with each passing day (as you can see in the image below), and is expected to completely surpass Objective-C iOS app development language soon.

  2. Java 8

Java 8 is an upgrade to Java’s programming model and is a coordinated advancement of the Java language, JVM, and libraries. The language, which is used for Android app development includes features promoting ease of use, productivity, security, improved performance, and improved polyglot programming.

Features – 

Virtual Extension Methods and Lambda Expression

One of the most noteworthy features of the Java SE 8 language is its implementation of the Lambda expressions and the various related supporting features for both the platform and Java programming language.

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

3. Kotlin

The now official Google programming language, Kotlin is used for developing multi-platform applications. With the help of the language, one can create apps for JVM, Android, Native, and Browser. Since the announcement of it becoming the official language, Kotlin has been adopted by a number of companies for their apps. Since it’s very new in the industry, we recently wrote an article to help make it easy for the developers to make the switch from Java to Kotlin.

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features – 

Java Interoperability

Kotlin is 100% interoperable with Java, making it easy for the Java developers to learn the language. The platform gives the developers an option to paste their code and it converts the Java code into Kotlin’s.

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

4. React Native

React Native is the framework, which uses React to define the user interface for the native devices. With the help of React Native one can build applications, which runs on both iOS and Android devices using JavaScript.

Features – 

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

Its interface helps developers in looking into someone else’s project and building upon it. It gives the benefit of flexibility as it takes less time for the developers to understand the programming logic and edit it.

5. Python 

It is a general purpose language that has a variety of uses ranging from mathematical computing, such as – NumPy, SymPy, and Orange; Desktop Graphical UI – Panda3D, Pygame and in Web Development – Bottle and Django.

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

  Features –

Easy to Learn

The language has a simple and elegant syntax which is much easier to write and read as compared to the other programming languages like C#, Java, and C++. For a newbie it is every easy to start with Python solely because of its easy syntax.

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

Python has standard libraries which save developers’ time in writing all the code themselves. Suppose you want to connect MySQL database on the web server, now instead of writing the whole code by yourself, you can make use of the MySQLdb library.

6. R 

It is an open source program which is used to perform statistical operations. R is a command line driven program, meaning that developers enter command at the prompt and every command is implemented one at a time.

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

7. Node.Js 

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features – 

Event Driven

All APIs in the Node.js library are event driven, meaning the Node.js server doesn’t have to wait for the API to return data. Server moves to next API after calling it and the notification mechanism of the Node.js events help servers in getting a response from the last API call.

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

8. Haskell 

Haskell is a functional programming language. It is a first commercial language to enter the functional programming domain. It is a mix of a number of generalizable functions which define what a program is supposed to do., allowing the lower layers handle the mundane details such as iteration.

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

9. MATLAB

The proprietary programming language allows plotting of data and functions, matrix manipulations, development of user interfaces, implementation of algorithms, and interfacing with the programs written in the other languages that includes C++, C, C#, Fortran, Java, and Python.

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

10. JavaScript 

It allows developing applications for mobile, desktop and web, as well as build interactive websites. When compared to Python or Java, JavaScript is easier to learn and implement because of all of the accessible UI features. It has many convenient and flexible libraries, among which React.js, Angular.js, and Vue.js are the most trending ones.

JavaScript is one of the most used programming languages by developers, ranking on the top with 62.5% in the <a href=”http://ift.tt/2hvE0Qp; rel=”nofollow”>Stack Overflow Developer Survey</a> (as you can see in the graph given below).

  Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Just like many other scripting languages, JavaScript is dynamically typed. Here, a type is linked with each value and not just with each expression. Moreover, JavaScript includes an eval function that performs statements provided as strings at run-time.

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

JavaScript is nearly object-based with an object considered as an associative array, combined with a prototype. Each string in case of JavaScript serves the name for an object property, with two ways to specify the name. A property can be added, deleted or rebound at run-time, and most of the properties of an object can be computed using a for…in loop.

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post KOTLIN, Python, and React Native among the Top 10 Programming Languages to Look Out For in 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

[olumina]

Top 10 Trendiest Programming Languages of 2018

In our Mobile app development industry, if there is anything that grows at par with the continuous app entries in the stores and the frequent updates, it is the increasing number of programming languages to support the mushrooming.

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018. 

Swift 4.0

Java 8

KOTLIN

React Native

Python

R

Node.Js

Haskell

MATLAB

JavaScript

  1. Swift 4.0

Swift 4 is based on the strong points of Swift 3, providing better stability and robustness, offering source code compatibility with the Swift 3 language. It has brought in enhancements to the library, and have additional features like serialization and archival. Taking iPhone app development companies to the next level.

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

Swift, in comparison to Objective-C is gaining popularity with each passing day (as you can see in the image below), and is expected to completely surpass Objective-C iOS app development language soon.

    2. Java 8

Java 8 is an upgrade to Java’s programming model and is a coordinated advancement of the Java language, JVM, and libraries. The language, which is used for Android app development includes features promoting ease of use, productivity, security, improved performance, and improved polyglot programming.

Features – 

Virtual Extension Methods and Lambda Expression

One of the most noteworthy features of the Java SE 8 language is its implementation of the Lambda expressions and the various related supporting features for both the platform and Java programming language.

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

  3. Kotlin

The now official Google programming language, Kotlin is used for developing multi-platform applications. With the help of the language, one can create apps for JVM, Android, Native, and Browser. Since the announcement of it becoming the official language, Kotlin has been adopted by a number of companies for their apps. Since it’s very new in the industry, we recently wrote an article to help make it easy for the developers to make the switch from Java to Kotlin.

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features – 

Java Interoperability

Kotlin is 100% interoperable with Java, making it easy for the Java developers to learn the language. The platform gives the developers an option to paste their code and it converts the Java code into Kotlin’s.

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

  4. React Native

React Native is the framework, which uses React to define the user interface for the native devices. With the help of React Native one can build applications, which runs on both iOS and Android devices using JavaScript.

Features – 

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

Its interface helps developers in looking into someone else’s project and building upon it. It gives the benefit of flexibility as it takes less time for the developers to understand the programming logic and edit it.

  5. Python 

It is a general purpose language that has a variety of uses ranging from mathematical computing, such as – NumPy, SymPy, and Orange; Desktop Graphical UI – Panda3D, Pygame and in Web Development – Bottle and Django.

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

  Features –

Easy to Learn

The language has a simple and elegant syntax which is much easier to write and read as compared to the other programming languages like C#, Java, and C++. For a newbie it is every easy to start with Python solely because of its easy syntax.

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

Python has standard libraries which save developers’ time in writing all the code themselves. Suppose you want to connect MySQL database on the web server, now instead of writing the whole code by yourself, you can make use of the MySQLdb library.

  6. R 

It is an open source program which is used to perform statistical operations. R is a command line driven program, meaning that developers enter command at the prompt and every command is implemented one at a time.

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

  7. Node.Js 

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features – 

Event Driven

All APIs in the Node.js library are event driven, meaning the Node.js server doesn’t have to wait for the API to return data. Server moves to next API after calling it and the notification mechanism of the Node.js events help servers in getting a response from the last API call.

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

  8. Haskell 

Haskell is a functional programming language. It is a first commercial language to enter the functional programming domain. It is a mix of a number of generalizable functions which define what a program is supposed to do., allowing the lower layers handle the mundane details such as iteration.

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

  9. MATLAB

The proprietary programming language allows plotting of data and functions, matrix manipulations, development of user interfaces, implementation of algorithms, and interfacing with the programs written in the other languages that includes C++, C, C#, Fortran, Java, and Python.

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

  10. JavaScript 

It allows developing applications for mobile, desktop and web, as well as build interactive websites. When compared to Python or Java, JavaScript is easier to learn and implement because of all of the accessible UI features. It has many convenient and flexible libraries, among which React.js, Angular.js, and Vue.js are the most trending ones.

JavaScript is one of the most used programming languages by developers, ranking on the top with 62.5% in the <a href=”http://ift.tt/2hvE0Qp; rel=”nofollow”>Stack Overflow Developer Survey</a> (as you can see in the graph given below).

  Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Just like many other scripting languages, JavaScript is dynamically typed. Here, a type is linked with each value and not just with each expression. Moreover, JavaScript includes an eval function that performs statements provided as strings at run-time.

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

JavaScript is nearly object-based with an object considered as an associative array, combined with a prototype. Each string in case of JavaScript serves the name for an object property, with two ways to specify the name. A property can be added, deleted or rebound at run-time, and most of the properties of an object can be computed using a for…in loop.

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post Top 10 Trendiest Programming Languages of 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

[mobileexpressnow]

Top 10 Trendiest Programming Languages of 2018

In our Mobile app development industry, if there is anything that grows at par with the continuous app entries in the stores and the frequent updates, it is the increasing number of programming languages to support the mushrooming.

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018. 

Swift 4.0

Java 8

KOTLIN

React Native

Python

R

Node.Js

Haskell

MATLAB

JavaScript

  1. Swift 4.0

Swift 4 is based on the strong points of Swift 3, providing better stability and robustness, offering source code compatibility with the Swift 3 language. It has brought in enhancements to the library, and have additional features like serialization and archival. Taking iPhone app development companies to the next level.

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

Swift, in comparison to Objective-C is gaining popularity with each passing day (as you can see in the image below), and is expected to completely surpass Objective-C iOS app development language soon.

    2. Java 8

Java 8 is an upgrade to Java’s programming model and is a coordinated advancement of the Java language, JVM, and libraries. The language, which is used for Android app development includes features promoting ease of use, productivity, security, improved performance, and improved polyglot programming.

Features – 

Virtual Extension Methods and Lambda Expression

One of the most noteworthy features of the Java SE 8 language is its implementation of the Lambda expressions and the various related supporting features for both the platform and Java programming language.

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

  3. Kotlin

The now official Google programming language, Kotlin is used for developing multi-platform applications. With the help of the language, one can create apps for JVM, Android, Native, and Browser. Since the announcement of it becoming the official language, Kotlin has been adopted by a number of companies for their apps. Since it’s very new in the industry, we recently wrote an article to help make it easy for the developers to make the switch from Java to Kotlin.

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features – 

Java Interoperability

Kotlin is 100% interoperable with Java, making it easy for the Java developers to learn the language. The platform gives the developers an option to paste their code and it converts the Java code into Kotlin’s.

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

  4. React Native

React Native is the framework, which uses React to define the user interface for the native devices. With the help of React Native one can build applications, which runs on both iOS and Android devices using JavaScript.

Features – 

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

Its interface helps developers in looking into someone else’s project and building upon it. It gives the benefit of flexibility as it takes less time for the developers to understand the programming logic and edit it.

  5. Python 

It is a general purpose language that has a variety of uses ranging from mathematical computing, such as – NumPy, SymPy, and Orange; Desktop Graphical UI – Panda3D, Pygame and in Web Development – Bottle and Django.

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

  Features –

Easy to Learn

The language has a simple and elegant syntax which is much easier to write and read as compared to the other programming languages like C#, Java, and C++. For a newbie it is every easy to start with Python solely because of its easy syntax.

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

Python has standard libraries which save developers’ time in writing all the code themselves. Suppose you want to connect MySQL database on the web server, now instead of writing the whole code by yourself, you can make use of the MySQLdb library.

  6. R 

It is an open source program which is used to perform statistical operations. R is a command line driven program, meaning that developers enter command at the prompt and every command is implemented one at a time.

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

  7. Node.Js 

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features – 

Event Driven

All APIs in the Node.js library are event driven, meaning the Node.js server doesn’t have to wait for the API to return data. Server moves to next API after calling it and the notification mechanism of the Node.js events help servers in getting a response from the last API call.

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

  8. Haskell 

Haskell is a functional programming language. It is a first commercial language to enter the functional programming domain. It is a mix of a number of generalizable functions which define what a program is supposed to do., allowing the lower layers handle the mundane details such as iteration.

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

  9. MATLAB

The proprietary programming language allows plotting of data and functions, matrix manipulations, development of user interfaces, implementation of algorithms, and interfacing with the programs written in the other languages that includes C++, C, C#, Fortran, Java, and Python.

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

  10. JavaScript 

It allows developing applications for mobile, desktop and web, as well as build interactive websites. When compared to Python or Java, JavaScript is easier to learn and implement because of all of the accessible UI features. It has many convenient and flexible libraries, among which React.js, Angular.js, and Vue.js are the most trending ones.

JavaScript is one of the most used programming languages by developers, ranking on the top with 62.5% in the <a href=”http://ift.tt/2hvE0Qp; rel=”nofollow”>Stack Overflow Developer Survey</a> (as you can see in the graph given below).

  Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Just like many other scripting languages, JavaScript is dynamically typed. Here, a type is linked with each value and not just with each expression. Moreover, JavaScript includes an eval function that performs statements provided as strings at run-time.

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

JavaScript is nearly object-based with an object considered as an associative array, combined with a prototype. Each string in case of JavaScript serves the name for an object property, with two ways to specify the name. A property can be added, deleted or rebound at run-time, and most of the properties of an object can be computed using a for…in loop.

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post Top 10 Trendiest Programming Languages of 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

[olumina]

The Top 10 Programming Languages that will define 2018

In our Mobile app development industry, if there is anything that grows at par with the continuous app entries in the stores and the frequent updates, it is the increasing number of programming languages to support the mushrooming.

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018. 

Swift 4.0

Java 8

KOTLIN

React Native

Python

R

Node.Js

Haskell

MATLAB

JavaScript

  1. Swift 4.0

Swift 4 is based on the strong points of Swift 3, providing better stability and robustness, offering source code compatibility with the Swift 3 language. It has brought in enhancements to the library, and have additional features like serialization and archival. Taking iPhone app development companies to the next level.

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

Swift, in comparison to Objective-C is gaining popularity with each passing day (as you can see in the image below), and is expected to completely surpass Objective-C iOS app development language soon.

  2. Java 8

Java 8 is an upgrade to Java’s programming model and is a coordinated advancement of the Java language, JVM, and libraries. The language, which is used for Android app development includes features promoting ease of use, productivity, security, improved performance, and improved polyglot programming.

Features – 

Virtual Extension Methods and Lambda Expression

One of the most noteworthy features of the Java SE 8 language is its implementation of the Lambda expressions and the various related supporting features for both the platform and Java programming language.

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

  3. Kotlin

The now official Google programming language, Kotlin is used for developing multi-platform applications. With the help of the language, one can create apps for JVM, Android, Native, and Browser. Since the announcement of it becoming the official language, Kotlin has been adopted by a number of companies for their apps. Since it’s very new in the industry, we recently wrote an article to help make it easy for the developers to make the switch from Java to Kotlin.

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features – 

Java Interoperability

Kotlin is 100% interoperable with Java, making it easy for the Java developers to learn the language. The platform gives the developers an option to paste their code and it converts the Java code into Kotlin’s.

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

  4. React Native

React Native is the framework, which uses React to define the user interface for the native devices. With the help of React Native one can build applications, which runs on both iOS and Android devices using JavaScript.

Features – 

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

Its interface helps developers in looking into someone else’s project and building upon it. It gives the benefit of flexibility as it takes less time for the developers to understand the programming logic and edit it.

  5. Python 

It is a general purpose language that has a variety of uses ranging from mathematical computing, such as – NumPy, SymPy, and Orange; Desktop Graphical UI – Panda3D, Pygame and in Web Development – Bottle and Django.

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

  Features –

Easy to Learn

The language has a simple and elegant syntax which is much easier to write and read as compared to the other programming languages like C#, Java, and C++. For a newbie it is every easy to start with Python solely because of its easy syntax.

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

Python has standard libraries which save developers’ time in writing all the code themselves. Suppose you want to connect MySQL database on the web server, now instead of writing the whole code by yourself, you can make use of the MySQLdb library.

  6. R 

It is an open source program which is used to perform statistical operations. R is a command line driven program, meaning that developers enter command at the prompt and every command is implemented one at a time.

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

  7. Node.Js 

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features – 

Event Driven

All APIs in the Node.js library are event driven, meaning the Node.js server doesn’t have to wait for the API to return data. Server moves to next API after calling it and the notification mechanism of the Node.js events help servers in getting a response from the last API call.

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

  8. Haskell 

Haskell is a functional programming language. It is a first commercial language to enter the functional programming domain. It is a mix of a number of generalizable functions which define what a program is supposed to do., allowing the lower layers handle the mundane details such as iteration.

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

  9. MATLAB

The proprietary programming language allows plotting of data and functions, matrix manipulations, development of user interfaces, implementation of algorithms, and interfacing with the programs written in the other languages that includes C++, C, C#, Fortran, Java, and Python.

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

  10. JavaScript 

It allows developing applications for mobile, desktop and web, as well as build interactive websites. When compared to Python or Java, JavaScript is easier to learn and implement because of all of the accessible UI features. It has many convenient and flexible libraries, among which React.js, Angular.js, and Vue.js are the most trending ones.

JavaScript is one of the most used programming languages by developers, ranking on the top with 62.5% in the <a href=”http://ift.tt/2hvE0Qp; rel=”nofollow”>Stack Overflow Developer Survey</a> (as you can see in the graph given below).

  Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Just like many other scripting languages, JavaScript is dynamically typed. Here, a type is linked with each value and not just with each expression. Moreover, JavaScript includes an eval function that performs statements provided as strings at run-time.

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

JavaScript is nearly object-based with an object considered as an associative array, combined with a prototype. Each string in case of JavaScript serves the name for an object property, with two ways to specify the name. A property can be added, deleted or rebound at run-time, and most of the properties of an object can be computed using a for…in loop.

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post The Top 10 Programming Languages that will define 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

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The Top 10 Programming Languages that will define 2018

In our Mobile app development industry, if there is anything that grows at par with the continuous app entries in the stores and the frequent updates, it is the increasing number of programming languages to support the mushrooming.

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018. 

Swift 4.0

Java 8

KOTLIN

React Native

Python

R

Node.Js

Haskell

MATLAB

JavaScript

  1. Swift 4.0

Swift 4 is based on the strong points of Swift 3, providing better stability and robustness, offering source code compatibility with the Swift 3 language. It has brought in enhancements to the library, and have additional features like serialization and archival. Taking iPhone app development companies to the next level.

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

Swift, in comparison to Objective-C is gaining popularity with each passing day (as you can see in the image below), and is expected to completely surpass Objective-C iOS app development language soon.

  2. Java 8

Java 8 is an upgrade to Java’s programming model and is a coordinated advancement of the Java language, JVM, and libraries. The language, which is used for Android app development includes features promoting ease of use, productivity, security, improved performance, and improved polyglot programming.

Features – 

Virtual Extension Methods and Lambda Expression

One of the most noteworthy features of the Java SE 8 language is its implementation of the Lambda expressions and the various related supporting features for both the platform and Java programming language.

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

  3. Kotlin

The now official Google programming language, Kotlin is used for developing multi-platform applications. With the help of the language, one can create apps for JVM, Android, Native, and Browser. Since the announcement of it becoming the official language, Kotlin has been adopted by a number of companies for their apps. Since it’s very new in the industry, we recently wrote an article to help make it easy for the developers to make the switch from Java to Kotlin.

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features – 

Java Interoperability

Kotlin is 100% interoperable with Java, making it easy for the Java developers to learn the language. The platform gives the developers an option to paste their code and it converts the Java code into Kotlin’s.

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

  4. React Native

React Native is the framework, which uses React to define the user interface for the native devices. With the help of React Native one can build applications, which runs on both iOS and Android devices using JavaScript.

Features – 

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

Its interface helps developers in looking into someone else’s project and building upon it. It gives the benefit of flexibility as it takes less time for the developers to understand the programming logic and edit it.

  5. Python 

It is a general purpose language that has a variety of uses ranging from mathematical computing, such as – NumPy, SymPy, and Orange; Desktop Graphical UI – Panda3D, Pygame and in Web Development – Bottle and Django.

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

  Features –

Easy to Learn

The language has a simple and elegant syntax which is much easier to write and read as compared to the other programming languages like C#, Java, and C++. For a newbie it is every easy to start with Python solely because of its easy syntax.

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

Python has standard libraries which save developers’ time in writing all the code themselves. Suppose you want to connect MySQL database on the web server, now instead of writing the whole code by yourself, you can make use of the MySQLdb library.

  6. R 

It is an open source program which is used to perform statistical operations. R is a command line driven program, meaning that developers enter command at the prompt and every command is implemented one at a time.

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

  7. Node.Js 

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features – 

Event Driven

All APIs in the Node.js library are event driven, meaning the Node.js server doesn’t have to wait for the API to return data. Server moves to next API after calling it and the notification mechanism of the Node.js events help servers in getting a response from the last API call.

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

  8. Haskell 

Haskell is a functional programming language. It is a first commercial language to enter the functional programming domain. It is a mix of a number of generalizable functions which define what a program is supposed to do., allowing the lower layers handle the mundane details such as iteration.

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

  9. MATLAB

The proprietary programming language allows plotting of data and functions, matrix manipulations, development of user interfaces, implementation of algorithms, and interfacing with the programs written in the other languages that includes C++, C, C#, Fortran, Java, and Python.

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

  10. JavaScript 

It allows developing applications for mobile, desktop and web, as well as build interactive websites. When compared to Python or Java, JavaScript is easier to learn and implement because of all of the accessible UI features. It has many convenient and flexible libraries, among which React.js, Angular.js, and Vue.js are the most trending ones.

JavaScript is one of the most used programming languages by developers, ranking on the top with 62.5% in the <a href=”http://ift.tt/2hvE0Qp; rel=”nofollow”>Stack Overflow Developer Survey</a> (as you can see in the graph given below).

  Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Just like many other scripting languages, JavaScript is dynamically typed. Here, a type is linked with each value and not just with each expression. Moreover, JavaScript includes an eval function that performs statements provided as strings at run-time.

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

JavaScript is nearly object-based with an object considered as an associative array, combined with a prototype. Each string in case of JavaScript serves the name for an object property, with two ways to specify the name. A property can be added, deleted or rebound at run-time, and most of the properties of an object can be computed using a for…in loop.

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post The Top 10 Programming Languages that will define 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.