Forem: Cuelogic Technologies

Top Technology Trends for 2021

Cuelogic Technologies — Wed, 02 Jun 2021 12:57:26 +0000

To grow businesses in 2021, it’s imperative to adopt technology that complements and enables the overarching business strategy. Leaders must continuously stay abreast of the emerging technology trends on the horizon. This will help business leaders to build integrated corporate strategies and take calculated risks that have a high probability of paying off in 2021.

In this blog, we’ll review the top tech trends of 2020 and how they will manifest in 2021. We’ll also take a look at some tech trends of 2021 that the world can look forward to. https://www.cuelogic.com/blog/top-technology-trends-for-2021

DevOps Metrics : 15 KPIs that Boost Results & RoI

Cuelogic Technologies — Wed, 13 Jan 2021 11:30:43 +0000

To leverage the many advantages of DevOps to the software development process, it is important to treat DevOps as a journey and not a destination unto itself. This essentially means gathering feedback, creating benchmarks, and continually measuring results to track progress.

That’s where tracking metrics come into play. Read full article: https://www.cuelogic.com/blog/devops-metrics

Cypress vs. Selenium: Which is the Superior Testing Tool?

Cuelogic Technologies — Wed, 06 Jan 2021 08:54:05 +0000

Is Cypress really the best alternative to the Selenium WebDriver? Is it better, and if so, in what way? Does Cypress have what it takes to dethrone the reigning king?

Find out: https://www.cuelogic.com/blog/cypress-vs-selenium

Micro Frontend Deep Dive – Top 10 Frameworks To Know About

Cuelogic Technologies — Mon, 14 Dec 2020 07:52:09 +0000

Welcome to the second part of our Micro Frontend article series.
In this article, we dive deeper into what you need in order to incorporate this technique into your software development environment. We also describe in detail some of the most prominent Micro Frontend frameworks you can work with.

Read full article: https://www.cuelogic.com/blog/micro-frontends-frameworks

Micro Frontends – Revolutionizing Front-end Development with Microservices

Cuelogic Technologies — Mon, 30 Nov 2020 09:28:44 +0000

Today, it is possible to develop apps with 90% front-end code and it won’t be a stretch to say that a majority of web apps are being built with that approach. This brings us to a much-debated topic in the development world – Micro Frontends.

Micro Frontend means approaching front-end development process of web apps with the concept and idea of microservices.

Decoding Pipeline as Code (With Jenkins)

Cuelogic Technologies — Tue, 17 Nov 2020 12:55:35 +0000

The growing focus on decentralizing the application building process through techniques such as micro frontends and microservices has propelled the need for revamped engineering practices that can manage pipelines as code.

Primarily because pipeline-as-code can help speed up the process of building and progressively delivering software without compromising on consistency. Read full article: https://www.cuelogic.com/blog/pipeline-as-code

Flutter VS React Native: A Comparison Based On Criteria

Cuelogic Technologies — Tue, 27 Oct 2020 12:23:40 +0000

Digitization is the need of the hour. With the advancement in technologies, businesses need to find a way to increase their reach. Mobile applications are an essential medium to extend the circle. An average individual spends about 90% of their online time using mobile or web applications. Software application development needs to be approached in …

Continue reading "Flutter VS React Native: A Comparison Based On Criteria": https://www.cuelogic.com/blog/flutter-vs-react-native-a-comparison-based-on-criteria

Angular vs. React vs. Vue: A Comparison (Updated)

Cuelogic Technologies — Fri, 04 Oct 2019 07:53:45 +0000

Angular Vs React vs Vue in 2018

There is no denying the fact that the virtual world of web development and custom software development has been on a thriving technological ride in the past decade. And when it comes to frontend, JavaScript has been at the helm of this drive.

This popularity has given rise to tons of JavaScript frameworks along the way. The aim of this guide is to take an extensive look two such widely used frameworks - Angular and Vue - and one library - React.

This is a challenging post to write, but we're sure you must have faced problems dealing with JavaScript frameworks in the past and chances are, you must've been confused regarding which one to use.

If you're having trouble deciding between Angular, React or the new kid in the block, Vue, we're here to help.

This Guide is divided into the following parts -

1. About the frameworks
2. Importance of the frameworks
3. Maturity of the frameworks
4. Future of the frameworks
5. Quality of the community
6. Basic Programming concepts
7. Ease of use for large applications
8. Comparing performances
9. 101 guide to get started

Alright, so let's cut to the chase and compare the three below.

https://youtu.be/Nt80wG-C9UY

1. About the frameworks

Angular:

Angular is a TypeScript based JavaScript Framework that has been developed and maintained by Google. Other notable companies using Angular are: Wix, Weather.com, Forbes, Etc.

React:

Known as the ‘JavaScript Library for building user interfaces” , React is developed and maintained by Facebook. Other notable companies using React are: Uber, Twitter, Netflix, Walmart, Etc.

Vue:

Developed and released in 2014 by an ex-Google employee named Evan You. Notable companies using Vue are: Alibaba, Nintendo, GitLab, Etc.

While Angular and React have been popular products from large corporations, Vue is a one-man army that has quickly risen to vogue status because of the Model-view-view-model (MVVM) architectural pattern that it deploys.

Since MVVM facilitates the separation of the Graphical User Interface in the development process from the Business Logic or Break-up End Logic, Vue is quickly becoming the go-to language for building interactive web application interfaces.

Importance of These Frameworks

Angular:

Simple & Quick : MVC framework that is capable of executing complex tasks and building dependency between the controller and template

DOM has Markup : In Angular, the Markup is directly positioned in the HTML records. This is what the stream looks like: HTML → > DOM — ->> Engine

Dependencies Handling : Angular is exceptional at handling dependencies. The application can be segregated into isolated modules which may or may not have conditions on each other.

Easily readable Angular templates that majorly deploy HTML tags👇👇👇.

React:

Unidirectional : The single-direction data flow in React ends up making the code more stable.

Virtual Dom : Presence of a Virtual DOM helps to improve the user experience and also the development rate. Code Snippet in the next page.

Open Source : Developers all around the globe contribute to the framework. Features like Batching and Pruning have been community contributions.

Better Development rate with React👇👇👇

Vue:

Syntax : The syntax deployed by Vue is supposed to be neat and smooth. For example, @keyup.enter.preven = “do Stuff” can handle any required event.

Learning Curve : It is extremely easy to introduce new developers in Vue project. The learning curve is smooth with single-file components that make it easy to scrutinize the code base.

Swift : Developers can quickly glimpse through any project by refer ring to the. Vue file that stores about the template, CSS, data-model, lifecycle hooks, mapped Vue exactions, watchers, etc.

Declarative Templates : Easy HTML templates that are readable without the knowledge of other programming languages. Code Snippet in the next page.

Readable HTML templates, even without the knowledge of other languages
👇👇👇

Maturity of the frameworks

Choosing the right framework is pivotal to the success of your JavaScript project. While making the decision, it is important to consider whether the system assists or complicates the addition of new elements. When we talk about the maturity of these frameworks, it can be gauged by the response from the GitHub community. Here are some crucial numbers* to put things in perspective:

*Statistics at the time of compilation

NPM Trends provides the following graph which gives an account of the number of downloads of npm package of those respective frameworks in the past two years.

If the Github stars are plotted on the graph, an interesting trend surfaces.

Other Important Factors

Angular

One major update every 6 months
Deprecation period of 6 months for every release
Long-term support versions starting from Angular 4
Easy updating process
Full Framework with bundled offerings

React

Stable APIs as depicted by the design principles of Facebook
Scripts available to move from current to newer APIs. Example - react-codemod
Easy migrations
Smooth upgrades
Stable major releases Independent but fast moving libraries

Vue

Similar APIs during version upgradation in small apps
Assisting upgrade migration-helper-tool
Issues while migrating versions in large apps

As evident, the popularity of Vue has been skyrocketing, is already more than that of Angular, and is slated to soon surpass the traction of React. Additionally, all three frameworks are available under the MIT License. While the numbers of core developers working on React have not been officially revealed, Angular has listed 37 contributors on the team page, while Vue lists 22 core developers and 14 community partners.

To reach a verdict, Angular and React are mature frameworks owing to their large scale adoption. Being a new market player, Vue is still in the development phase but is leading in popularity.

Future of the Frameworks

The Outlook:

To better gauge the direction in which these technologies are headed, let’s look at their present statuses. According to the Stackoverflow Survey of 2017, JavaScript continues to be the most popular language among Web Developers.

This is valid for other mentioned occupations as well.

Among JavaScript frameworks, React proves to be the leading choice for 66.9% of the developers. Comparatively, Angularjs clocks a lower approval rate of 51.7%.

Awareness & Satisfaction:

Additionally, according to StateofJS Front-end Frameworks Survey, awareness about Vue is lower at 94%, compared to almost 100% for Angular and React. But when it comes to satisfaction, a whopping 40% of the developers who have used Angular 1 do not plan to use it again. This is in stark contrast to the readings of React and Vue.

Hence, there is no denying the fact that Angular is fast losing the popularity that it once saw as developers are finding more support in other popular frameworks. On the other hand, React seems to be the current market leader of the three, winning the trust of the community and having a bright future ahead.

But the same goes for Vue as well. Considering its nascent status, it has gained quick traction and, as far as the GitHub community is concerned, its popularity is on the verge of surpassing even that of React’s.

According to trends and statistics, Angularjs development is popular and will keep growing. React is the current market leader, but with Vue's traction and popularity it will strongly be challenged.

Quality of Community

Angular

It has a huge community of users, with the downloads in the last month alone ranging between 1.5 - 2 Million. Moreover, a super active community on GitHub means that you always have someone or the other to help you sail through encountered issues. A range of solutions that are compatible with different versions of Angular can be explored, including advice from veteran developers.

React

It boasts an impressive download count of about 10 Million downloads in the past month alone. Being supported by the bigshots of Facebook, WhatsApp, and Instagram, React has no dearth of help from experienced developers. Like Angular, React too boasts of an impressive GitHub community where people are always ready to lend a helping hand. Although, it is important to note that React recommends using JSX, which is a modified version of JavaScript extended with XML Syntax. If you haven’t worked with JSX before, this might pose as a problem to begin with due to its complexity. So be ready to actively depend on the community for help.

Vue

The community of Vue is considered to be much smaller than that of React and Angular since it is the latest market player. However, things might look quite different within a year or two since Vue can very well end up being the most popular JavaScript framework.

Ease of Finding a Developer

When it comes to recruiting and finding the right talent, the tables turn a bit.
While being a popular choice among developers, it is not easy to find a talented developer if you are working with React because it is a challenge to find a developer who can modify JSX. However there are certain outsource software development companies that specialize in Javascript & React Development
Working with HTML templates proves to be much easier comparatively.
Hence, if you are planning to work with Angular or Vue, you can choose to hire talented HTML developers who can quickly learn about these frameworks. Directly finding a talented Angular or Vue developer is not a big deal since the learning curve is derived from HTML, which already has an abundant talent pool in the market.

In the case you already have an in-house team of developers or are more interested in an object-oriented development backdrops, Angular is the most relevant choice here.

Basic Programming Concepts of Angular, React & Vue

Languages:

Each of these frameworks uses a different scripting language.
Angular makes use of TypeScript. TypeScript is a popular open-source programming language that has been developed by Microsoft. It actively involves crucial concepts like static types which provide specific capabilities including automatic refactoring, jump to definitions, etc.
Reacts has focused itself around JavaScript ECMAScript 6 (ES 6) which is a version of JavaScript, to put it simply.
Similarly, Vue makes use of JavaScript ES 5.

Templates:

To choose the right framework you need to figure out whether you want to work with JSX or HTML.

Angular and Vue are based around standard HTML templates and components that facilitate easy structuring and code reuse. On the other hand, JSX can prove to be a huge concern with new developers.Let’s look at the pros and cons of each -JSX:

Pros	Cons
JSX is better at code-completion and compile-time	Acts as a barrier for new developers since it is a combination of JavaScript + XML + HTML
Bugs arising due to typos can be easily found as React does not compile typos and prints the number of the line where the typo resides.	Complex nature as compared to HTML Templates
React puts HTML into JavaScript which is better since JS is always more powerful	No demarcation between UI Templates and Inline JavaScript logic

HTML:

Pros	Cons
Demarcated view layer from the rest of the framework	More difficult debugging process compared to JSX
Ability to experiment with various techniques for optimal performance	Template based approach instead of components
Clear separation between dynamic and static parts of the view

Ease of use for large applications

The capabilities of the respective frameworks vary in accordance with the size of the applications that need to be developed.

Many developers opine that Angular 3 is unfit when working with large and complex applications. It proves to be perfect if complexity is low, but issues start to mount as the size of the applications scales.

For example, Gaming applications are usually large and involve DOM manipulation. Moreover, in applications that involve too much data binding, Angular 1 tends to become slow if the watches exceed 2500.

On the other hand, React proves to be the go to library if you plan to scale the app. This is validated by the fact that Facebook, WhatsApp, and Instagram all make use of React and each of them are large applications at a global scale. A maintainable architecture with server-side rendering can be easily developed with React.

Developers also consider Vue to be helpful while working with large-scale applications. The framework follows a lean methodology for the learning curve, which immediately trumps the complexity of frameworks like Angular that often prove to be difficult among new developers and large-scale app developers.

Source: https://www.stefankrause.net/

Regarding rendering speeds and performance tests, here's a chart that lists performance benchmarks of all the three for more clarity.

[hubspot type=form portal=3432998 id=43c818e9-ba9d-4a5e-a027-8bf8aa4b4481]

COMPARING PERFORMANCES

Parameter	Angular	React	Vue
Recommended Language	TypeScript	JS, JSX	JS, Vue
Architecture Flexibility	No	Yes	Yes
Logic Separation	Good	Good	Good
Rendering Speed	Slow	Fast	Fast
Most Known Architecture	MVC	Flux	Flux

Parameter	Angular	React	Vue
Server Side Rendering	Yes	Yes	Yes
CLI	Yes	Not Official	Yes
Debugging Tools	Yes	Yes	Yes
Testing	Jasmine and Karma	Developer’s Choice	Karma and Mocha, Jest
Data Library	No	No	No

Parameter	Angular	React	Vue
Mobile Build	Ionic	React-Native	Weex
Code Reusability	Yes	No, Only CSS	Yes, HTML and CSS
Size	143k	43k	23k
Code Stability	Yes	Yes	Yes
Bootstrap Integration	Yes	Yes	Yes

Diy - Test yourself:

If you want to carry out the tests yourself, here’s are relevant commands that you can use:

Angular	React	Vue
$ npm install -g @angular/cli $ git clone https://github.com/mikpetr/angular -performance-test.git $ cd angular-performance-test $ npm install $ ng build -prod $ npm install -g http-server $ cd dist $ http-server	$ git clone https://github.com/mikpetr/r eact-performance-test.git cd react-performance-test npm install npm run dev Browse to http://localhost:8080	$ git clone https://github.com/mikpetr/v ue-performance-test.git $ cd vue-performance-test $ npm install $ npm run build $ cd dist $ npm install -g http-server $ http-server

As compiled by ITNext, the performance of these tests are carried out with the help of Google Chrome performance tool for calculating the time, which starts when the button is clicked and ends when the rendering process does. Here are the results of the tests*.

Performance Testing - Vue rendering time 1191ms

Performance Testing – Angular rendering time 931 ms

Performance Testing - React rendering time 1819 ms

Angular 5 Framework in quite bloated in size.
React and Vue have Virtual DOMs which provide a boost to the performance.
Vue has the deepest memory allocation.

101 Guide to get started on the chosen framework

Angular: Steps to begin development

Setting up the development environment
Install Node.js and NPM on your local machine
Now globally install the Angular CLI

Create a new project
Launch the terminal
Generate a new project by running the following command

ng new my-app

Serve the Application
Launch the server by navigating to the project directory cd my-app ng serve --open
This will launch the App
Editing your First Angular Component
The first Angular Component would have been created by the CLI. This is the root component. It can be found in the location ./src/app/app.component.ts and it is named app-root
You can now open the Component file and change the title by editing the title property to the name of your choice. export class AppComponent

{

title = 'My First Angular App!';

}

Style the component by opening src/app/app.component.css

h1 {

color: #369; font-family: Arial, Helvetica, sans-serif; font-size: 250%;

}

Continue to develop you app accordingly. Everything that make up your app, including all components, templates, styles, images, etc. of your app reside in the src folder.

Setting up a React project:

Install the Sample Application
Clone the es6-tutorial react repository with the following command git clone https://github.com/ccoenraets/es6-tutorial-react
Next examine the React implementation of the mortgage calculator application
Set-up Babel and Webpack
Launch the command prompt
Navigate cd to the es6-tutorial-react directory
Create a package.json file through the following command: npm init
Now install the React and React-dom modules through the following command: npm install react react-dom --save-dev
Now install the Babel and Webpack modules with the following commands: npm install babel-core babel-loader webpack --save-dev
install the ECMAScript 2015 and React presets with the following command: npm install babel-preset-es2015 babel-preset-react --save-dev
Create a new file called webpack.config.js in the es6-tutorial-react directory and define it as follows:
Add a new script called webpack that compiles app.js by opening package.json"scripts": {"webpack": "webpack"},
Create a build directory in the es6-tutorial-react directory to host the compiled application version.
Build & Run
Go to the es6-tutorial-react directory in the command line and type this command: npm run webpack
Go to your browser and launch the index.html file to test the application

Setting up a Vue project:

Install Node.js and npm command in your system
Install Vue CLI globally with the following command $ npm install -g vue-cli
Initiate a new project with this command $ vue init webpack vueapp01
The project should be created in the folder vueapp01 You can change into the required directory with the following command: $ cd vueapp01
Install additional dependencies: $ npm install
Launch the web server in development mode: $ npm run dev
In case you want to build for production, use this command: $ npm run build

Ways to include Vue in projects

Use CDN - Include the <script> tag in the HTML File.
Use the NPM to install
Use Bower to install
Set up your project with Vue-cli

The bottom line is, the choice of your framework will depend on the type of requirement that you have coupled with the capabilities of your inhouse team. For instance, large apps can be developed with React but Object-oriented programming approach can be achieved only with Angular. Additionally, Vue is a perfect choice if you are looking for a lightweight framework.

Whatever be the case, make sure that you weigh your options properly. Migrating to other technologies will not be an easy task once your application has been already developed!
The Verdict

For those who love massive ecosystems and more flexibility, React is the way to go.

Angular uses TypeScript and is ideal for programmers with a solid Object-Oriented Programming (OOP) background who need detailed guidance and structure while Vue is relatively simple to pick up and integrate for a small team of core developers.

Don't forget you can download the entire blog here -

Liked this post? Which ones are you using? Are you looking to make a switch or modernizing your existing ones? Let us know in the comments!

[hubspot type=form portal=3432998 id=43c818e9-ba9d-4a5e-a027-8bf8aa4b4481]

Source: Cuelogic Blog

What’s new in Rails 6?

Cuelogic Technologies — Fri, 04 Oct 2019 05:55:57 +0000

Rails 6 release date and features

Rails 6 latest version rc2 has now released on July 22, 2019. This may be the best-exercised RC (release candidate) in Rails history. Because Rails has been released with three beta versions so far. Companies like Basecamp, Shopify and Github already using rc1 in the production. If you want to start a new rails app today then definitely you can use 6.0.0.rc1 or 6.0.0.rc2 gem version.

Let’s see what are the Rails 6 new features added in the final release of 6.0.0.rc1

Action Mailbox
Action Text
Parallel Testing
Action Cable Testing
Webpack

1) Action Mailbox
In Rails 5, we were using ActionMailer to manage mails in the application.

Action Mailbox is extracted from Basecamp, which gives you the way for incoming emails to the mailboxes as a controller for processing in the rails application. Also, it has access to integrate Mailgun, Postmark and SendGrid. Along with that, you can implement and work on handling inbound mails directly via the built-in access to Exim, Postfix and Qmail.

The inbound emails are considered as ‘InBoundEmail’ records using Active Record and tracking of its lifecycle, store original email on cloud storage via Active Storage. Also, it is responsible for data handling with on-by-default destruction process. By default, an ‘InBoundEmail’ that has been successfully processed will be destroyed after 30 days. For more help click here.

NOTE.: Action Mailbox requires Active Job and Active Storage.

2) Action Text
This is another extraction from Basecamp. According to Trix, this is a rich text content and editor for everyday writing that added to Rails 6.

This editor handles everything from formatting, quotes, lists and embedded images and galleries. Any embedded images or attachments are automatically stored using

Active Storage and associated with the RichText model. For more help click here.

Action Text already included in Rails 5.2, so many developers might have used it and also aware of the challenges if they have faced. This will give you opportunities to edit and bring rich text content.

Why was Trix editor added to Rails 6?

Most WYSIWYG editors use HTML’s contenteditable and execCommand that are designed by Microsoft support team for Internet Explorer 5.5. And based on reverse-engineering, those things copied from other browsers, so during implementation, each browser has its own issues and that leads to inconsistency.

But, Trix uses HTML’s contenteditable as an I/O device and overcome this inconsistency.

NOTE.: Action Text requires Active Storage.

3) Parallel Testing
Rails 6 added parallel testing by default. This feature is built by Github. Parallel testing allows you to run each test parallelly. It reduces the time to execute the test suite.

The machine has multiple cores and can create workers too. Using Rails 6, we create workers and based on each worker, Rails create a test-database. So, the test will have these number of database to run the test suite. We can create workers in two ways:

By adding parallelize(workers: 2) to your test_helper.rb
By adding PARALLEL_WORKERS=2 rails test Example: If you have created 2 workers then the test will create test-database-0 and test-database-1.

If you love to run the test using threads and JRuby, then it has additional property as thread. To add this, you need to add parallelize (workers: :number_of_processors, with: :threads) to your test_helper.rb. This threading parallelization is supported by Minitest’s Parallel:: Executor. For more help click here.

4) Action Cable Testing
This is a small feature added in Rails 6. In this, Rails allows testing your action cable functionality at any level. The levels are:

Connections
Channels
Broadcasts

We do a connection test to check the connection’s identifiers are assigned properly or are there any improper connection. Channel tests only assert the channel subscribes to the particular stream or not. The broadcast test is to check whether the message has been broadcasted inside other components. For more help click here.

5) Webpack
Webpack bundler has been added as default in Rails 6. Previously Rails uses Assets Pipeline to built JS and CSS. But now, using webpacker gem, all StyleSheets, images and JS libraries wrap into a single bundle with a single access point.

Webpack working

Some people already using webpack bundling with rails 5.1+ version. But, in that version, we need to configure it using the command ‘rails new app --webpack’. Now, it is by default into the rails app.

Webpack is a static module bundler for modern js applications. Webpack helps during connecting Rails app with UI frameworks like ReactJs, AngularJs, VueJs, etc. Also, using this we can easily build hot reloading into Rails 6 application.
The webpacker gem provides integration with webpack and npm/yarn. Npm and yarn both famous for fast, reliable, and secure dependency management.

Rails 6 upgradation from Rails 5

Considerations First, you need to consider your application rails version is 5.2 and you need to upgrade to rails version 6. And your current app rails version has latest patch version before moving to the next major/minor version.
Ruby Version Rails 6 require Ruby version 2.5 or greater.
Gems You need to check all your gems from Gemfile are compatible with Rails 6 gem. You can check this by visiting the respective gem’s GitHub page.
Config files There is a task `rails app:update`. It will update the app to the latest version. During app updates, it will give you conflict over current files. You need to fix those files carefully.
Removals There are many removals in Rails 6. You need to take care of that during upgradation.
Webpacker Now, webpacker is by default added in Rails 6. It is a modern javascript compiler. You can manage your asset pipeline using webpacker.
Credentials Rails 6 given support for all environment credentials. Means, now you can create separate credentials to each environment e.g. dev, staging and production.

Read Complete post on Cuelogic Blog.

What Is Distributed Agile Development On Offshore Software Development?

Cuelogic Technologies — Mon, 12 Aug 2019 08:55:31 +0000

Working with an offshore team requires a well-planned approach. It can add to the complexity when working on agile projects. Here, communication between people involved in offshore software development is of primary concern. This can be considered a unique feature of the agile approach. It is both said and believed that face-to-face conversation is an effective method that contributes to the success of software development. The team working together can promise better outcomes which are crucial in Offshore Software Development. The following part of the article elaborates on how physical proximity is essential in the agile approach deployed in software development.

How agile approach can help in significant work progress?

Companies these days opt for offshore software development process for minimizing cost, time and maximizing production. However, hiring an offshore team can be challenging. Here, the company must know strategies to build a highly efficient team that can save both time and funds. Managing offshore software development outsourcing team involves challenges such as communication between team members, cultures, and time zones, multiple locations, maintaining disciple, well-planned task management and overall control. With all these factors in question, an efficient developmental approach is required for the team to work effectively.

Therefore, this is where the agile approach is best-suited.When expecting to get better outcomes from the offshore team, hiring offshore developers for right team coordination is of vital importance. In this regard, the agile approach brings in flexibility, collaboration, continuous work improvement promising high-end project results. So, by this method, one can expect a flexible and efficient approach in software development by helping offshore outsourcing software development teamwork better.

Finding out better ways of software development with offshore team

To get the most out of a remote team by implementing an agile approach, you can expect better outcomes from best offshore developers. Agile method is an efficient and convenient methodology using which an offshore software development company in India can promise to deliver value-added service to customers. The best part of using this methodology is its ability to adapt to changes instantly as per market requirements. Benefits of deploying agile approach in offshore development team are illustrated in the following part.

Importance of clearly stating product vision

For any offshore software development services, it is necessary to declare the amount of work that has to be completed within the stipulated time. This is important to state to hire offshore developers so that they can plan out an effective work strategy.

This further helps the software development outsourcing team to get a clear picture of the work that includes detailed reports, timely deliveries and other essential staff that is expected from the team. Depending on task allotment, several groups will be formed. This will bring flexibility in the work process. Also, an effective team can help make necessary changes required in teamwork as per customer feedback.

Importance of having a clear product map

For effective Offshore Software Development task, after the primary tasks are allotted, it is important to divide the works at different time intervals that should guide the process of product development. This high-level view of requirement in due course of product management can help to get expected outcomes properly. The offshore software Development company should prepare flexible product roadmap. However, depending on the speed of the work, the deadline and effectiveness of the agile approach, the task map can be fixed. Therefore, for an offshore software development in India, the map shall offer clear work schedule to all offshore team members.

When using the agile approach, work progress can be regulated under control by making necessary changes as required. Also, if required, the work progress is divided into groups that will result in better outcomes of the offshore project.

Collaboration technology makes agile approach fruitful

Most offshore software development companies in India deploy collaboration technology when implementing the agile methodology. These are meant for efficient working of offshore teams. With the help of modern tools, the work flow becomes easy to access and also transparent. Transparency is important when maintaining offshore team based on the agile approach. They will help the team to be on the same page throughout the project work.

How agile team meetings can help?

By deploying agile approach, it is possible to organize team meetings that help in syncing team members. Through this, team members can share work and its progress across different time zones. This can help team members share daily work progress and try to achieve the day's agenda. The best part of the agile meeting is that offshore development India can allow members to discuss problems relating to project work. Therefore, such agile meetings ensure that the entire team works in sync.

What communication tools are used by a distributed agile team?

Effective communication is vital in a distributed agile team in offshore software development task. Team chats and instant messaging tools are important. Through this, team members can resolve everyday problems and arrange for meetings, if required.

Project management tools are also necessary that help plan tasks and elaborate work progress to team members of the offshore software Development company. This helps in creating a sound project environment where tasks are stored. Also, each detail of the project should be made easily accessible to every offshore member of the team.

Maintaining notes of guidelines, instructions, designs, and notes on work progress are important. It facilitates a smooth workflow and anything in written helps Offshore Software Development team members in better understanding of project work.

Summing it up

Using a hybrid approach, working with remote and local members, by offshore software development India, companies can adopt best practices for distributed software development work. By adhering to best practices along with development standards, offshore software development projects can be dealt with easily. By deploying a distributed agile approach in offshore projects, companies can expect top-notch performance and create reliable partnerships to take the project development work further. By cultivating commitment to work and promising quality delivery, offshore project teams are best when the project work runs on agile methodology.

Source: hercampus.com

What is Devops? | The complete guide to DevOps (With Examples)

Cuelogic Technologies — Tue, 18 Jun 2019 08:39:21 +0000

What do companies like Amazon, Target, Esty, Netflix, Google, and Walmart all have in common? Apart from the fact that they are wildly successful companies, they all use a method known as DevOps in their day to day processes to increase efficiency and improve delivery time. In this DevOps guide, we will try to explain what is DevOps and how it can be a boon for your business.

What is DevOps and Why is It So Widely Used?

So what exactly is DevOps? Let’s take a small hypothetical example to illustrate. Let’s say there is a small startup that builds AI-enabled cleaning robots. There are 3 developers (let's be lazy and just call them Team D) who write and execute the code to create the robots and two operations people (Team O of course) who maintain the robot infrastructure in the real world environment and provide support for the robot users.

Team D has just spent 8 months creating the latest robot. It can recognize people, take commands from Alexa devices and of course clean like a boss. Team D has spent time creating this robot in their controlled dev environment and everything seems to be working smoothly. They couldn’t be prouder.

They hand over their creation to Team O which promptly takes it out into the real world. That’s when the problems start. It turns out that the perfect cleaning robot is not so perfect after all. It doesn’t recognize everyone, it’s capacity to follow Alexa commands breaks down when they are given by different people and it can’t reach and vacuum tricky shelves.

Team O is angry and frustrated. They have been waiting for this robot for so long and they can’t believe it’s an unmitigated disaster. Team D, on the other hand, is now on the defensive. They believe that everything was working perfectly during controlled testing conditions and the royal mess now must be because of Team O’s poor execution.

In conclusion, there is a sub-optimal product in the market, it seems like corrections and improvements will now take almost as long as product roll-out did, and two very competent teams now hate each other and their jobs.

That, in a nutshell, is why DevOps was created and why more than 70% of SMBs (Small and Medium Businesses) were adopting DevOps Services in their companies in 2016. A lot of heartache, frustration and inefficiency could have been avoided had Team D and Team O worked with each other right from conception and execution to delivery and support. Instead, they worked in silos with an imaginary wall between them.

Team O had no involvement when the code was being written and the robot was actually being built while Team D was completely out of the picture when the robot went out into the real world and cleaned many different houses. The result was a robot that was not ready for the market and a dev team that still doesn’t quite know how to resolve things.

As you can imagine, a lot of time will go by before the robot is finally market-ready. There will be a number of iterations as Team D makes some changes and Team O sends the robot out into the real world. And not just during product development, this same issue will continue when the robot needs maintenance and upgrades. As a result, even a small startup ends up becoming inefficient and slow and there’s a good chance that it loses out to other companies that get superior products to market faster.

This was the problem that companies started seeing especially as technology became more advanced. Keeping their operations and development teams isolated from each other was resulting in slower delivery and less efficient products and services. Moreover, many processes in the company operations that could have been easily automated to increase efficiency were not being automated because the developers were simply unaware of them.

That’s when the concept of DevOps came to the fore and began being adopted widely. DevOps is nothing but a set of philosophies, practices, and tools that help an organization to deliver better products faster by facilitating the integration of the development and operations functions. This enables companies like the one in our example to serve their customers and markets in a better way and have a competitive edge.

This starts from the design to the entire development process right up to production support.

How Has DevOps Evolved?

DevOps is now in its 10th year. DevOps, like most philosophies and tools that have practical application, has had a journey from being just a bunch of ideas and principles thrown together into a full-fledged discipline with its own processes and tools.

Back in 2007, a project manager named Patrick Debois was working with the Belgian government to help with data center migrations. He found the whole process extremely frustrating because of the wall between the developers and the operations team which made his job much harder and delivery much slower.

Debois was a big believer in the agile methodology which promotes continuous iteration of development and testing throughout the development lifecycle which helps dev teams ship better products faster. He believed that similar principles should apply to the development and operations teams working together in sync.

In 2008, Andrew Schafer (who later became known as a DevOps evangeliser), and Debois got together at a conference to discuss initial ideas and principles around what they then referred to as “agile systems administration”. They also formed an agile administrator group on google which is where the real beginnings of DevOps lie.

Another landmark event in the history of DevOps’ evolution was the now famous presentation by Flickr employees John Allspaw(then VP of technical operations) and Paul Hammond(then Director of Engineering) at the O’Reilly Velocity conference in 2009. With a hilarious yet hard-hitting role-play, Hammond and Allspaw brought home the fact that there was major business loss due to the wall between development and operations and the only way out was a seamless integration between the two.

This presentation came to be known as “the defining moment” for DevOps as the tech world quickly woke up to the need of such integration. The presentation inspired Debois to organize a DevOps conference called Devopsdays in Belgium, and the rest, as they say, is history.

Another important moment in the evolution of DevOps was the first DevOps conference in the United States. It was held in 2010 at Mountain View, California, the Mecca of technology. This was the definitive signal that DevOps had arrived and was here to stay. In 2018 in fact, there were more than 30 DevOps conferences across the world.

How Does Using DevOps Benefit an Organisation?

The reason DevOps saw such rapid adoption is that it truly makes a massive difference to how a tech company operates at a very fundamental level. Let’s take a look at some of the benefits that accrue when a company adopts the DevOps approach.

Accelerated Innovation

This is the major reason that DevOps came into existence. Using DevOps allows companies to develop and deploy products much faster. As we saw in our earlier example, cycle times become significantly longer when there is a wall between development and operations. When the two are integrated, on the other hand, changesets are smaller and problems to be solved each time are less complex. Moreover, team members can make software changes easily since they only need to look at the latest code added and not at all of it. Things like microservices and continuous delivery allow teams to take complete ownership of projects and deliver them faster.

Collaboration

As our example has shown, a wall between development and operations often results in an environment where the two teams don’t trust each other and each is walking around a little blindly. This has long-term repercussions on the morale of the team and how motivated they are to work towards their goals. A DevOps approach results in a collaboration between the two teams where they work with a shared passion to achieve common goals. This creates a much more positive work environment where outcomes can be reached much faster and more efficiently. This also has other positive outcomes like enhanced job satisfaction and lower attrition.

Reliability

Before DevOps updating an application to meet changing user needs was a nightmare. There was always a chance that updating the application would compromise the quality required by the user.
With DevOps tools like continuous integration and delivery, it is now easy to test the functionality of the software and keep security and quality in mind. Other processes like monitoring and logging help keep track of real-time performance metrics which help maintain the reliability of the software.

Security

Without DevOps, you have to often make a tradeoff between speed and security which results in delivery time becoming a lot more. With DevOps, you can use automated compliance policies, fine-grained controls, and configuration management techniques to maintain speed without compromising on security.

Scalability

DevOps started growing in prominence as companies like Google, Amazon, and Youtube started finding it harder to manage their technology at scale with a wall separating development and operations. The automation and consistency that comes with DevOps allow you to manage and change complex systems more efficiently.

What are Some of the Best Practices for Effective DevOps

While DevOps still means different things to different people, there has emerged a core of best practices that should be incorporated by companies looking at adopting DevOps.

Active Stakeholder Participation

This is the fundamental guiding principle of DevOps. DevOps can succeed only if both the developers and the operations and support staff are truly committed to collaborating and using an integrated approach to achieve goals.

Automated Testing

Automated regression testing is something agile teams adopt very often as it helps to fix problems right away and ship higher quality code. This works well in DevOps too as a dire need of operations staff is that the code shipped should meet a certain quality standard.

Integrated Configuration Management

In a DevOps environment, configuration management applies not only to the current solution being worked on but also on the configuration issues between the solution and the rest of the organization infrastructure. Integrated Configuration management helps operations teams see the potential impact of a new release more clearly which helps in making better decisions regarding when the release should be made.

Integrated Change Management

With integrated change management, operations and development teams work together to understand how using different technologies will impact the organisation as a whole and then work toward managing that.

Continuous Integration

With continuous integration, the code is tested and analysed whenever updated code is checked into the version control system. This provides immediate feedback on code defects which allows developers to build a high-quality solution with little risk.

Integrated Deployment Planning

A DevOps approach means operations engineers will be closely involved with the developers when it comes to planning the deployment of products as per an organizational deployment schedule.

Continuous Deployment

With continuous deployment, when integration is successful in one sandbox it is automatically promoted to the next sandbox and integration begins there. This continues until it reaches the point where it requires human verification. This usually occurs at the point of transition from dev to operations.

Production Support

With DevOps, not only do developers work on new releases, but they also work on addressing critical problems with a solution that is already in production. Although they are the third and last team to get involved in solving production issues, it is a fairly common occurrence and gives them insights on production problems that help them design better solutions in the first place.

Application Monitoring

This refers to the practice of monitoring and logging solutions real-time once they are in production. This gives us performance metrics that improve the reliability of the solution and prevent failures.

Automated Dashboards

DevOps allows us to create automated dashboards for several key metrics. All metrics cannot be automated of course, but several key metrics can be seen real-time using automated dashboards and they provide critical business intelligence.

What are the DevOps Tools?

In order to implement DevOps best practices described above, certain tools have been developed to automate and facilitate different DevOps processes. While the right tools play a key role in effective DevOps implementation, simply using the tools does not mean DevOps adoption. Tools are only relevant when they are used as the last stage- after the organization has already adopted the philosophy of DevOps and there is a commitment to executing its best practices.

Although DevOps was not supposed to be about tools, with its evolution in the last few years, a number of technologies that were not part of the original concept have now become an integral part of DevOps. According to research firm Gartner, a linked toolchain of technologies has now become critical if DevOps is to bring about the change it’s meant to. In recent years there has been an explosion of DevOps tools for different DevOps practices. Here are just a few examples.

Release Tools

Jenkins
Travis
TeamCity
Bamboo

Configuration Management Tools

Puppet
Chef
Ansible
Cfengine
Saltstack

Orchestration Tools

Zookeeper
Noah
Mesos

Monitoring, Virtualization and Containerization Tools

AWS
OpenStack
Vagrant
Docker
New Relic
Sensu
Spunk
Nagios

Coding Tools

Jira
Git
Eclipse

Testing Tools

JUnit
Zephyr
Selenium
Vagrant
SoapUI

The Key to Effective Adoption of DevOps

Adoption of organisation wide DevOps is a slippery slope because it requires a philosophical and cultural change combined with a more practical implementation of tools and best practices. If an organisation simply aspires to the philosophy of collaboration and efficiency behind DevOps without doing the hard work of actually executing it on the ground, DevOps will remain a philosophy and nothing more.

At the same time, simply adopting DevOps practices and tools without the philosophy and DevOps culture permeating across the organization is also futile. The starting point of successful adoption of DevOps within your organization should be getting your development and operations teams fully committed to the cause. It is only after they are fully onboard that the best practices and DevOps tools should come into the picture.

Originally published on Cuelogic Blog

Python vs Java : The programming language fight for dominance

Cuelogic Technologies — Tue, 11 Jun 2019 10:59:53 +0000

Anatomy of Python and Java

Both languages offer something unique to the table. While they have their unique technical differences, they're essentially fully developed languages that have thriving communities aiding in innovation. Both languages are written differently as well, as they're utilized uniquely as per their running efficiencies. While one is extensively used for Machine Learning and Data analytics utilities, the other can be used to design great applications. Java is also an industry standard that can be used across various tech frameworks. It has an extensive code library that many developers can leverage to work off existing projects.

Java is also a standard in many applications designs as well. For dynamic coding and to have motion in action, Java is the preferred language. When it comes to Python, much of the server-side coding and the new web frameworks being launched work off python. Developers need to code in the right amount of code to develop Python, as it is a conservative language. Developers need to use less to describe more. This makes Python increasingly in-demand. Additionally, due to its popularity and versatility, Python is used across developing complex applications that leverage its capabilities.

From financial algorithms design to web parsing technologies, much of the coding in the world is done using Python. Python is an ambiguous language to master but a simpler one to code in when compared to Java. While Java is used more for client-side coding, Python can be implemented for server-side development. Both languages are designed to appeal to different requirements within the framework. Python is also powering much of what we see in the AI space.

“Contrary to popular belief, programming is not just a requirement to automate a trading strategy but is also required through most of the trading life cycle. With the rise of data sciences, Python has become the world's most popular programming language in 2017-18, including in the financial markets.” - Nitesh Khandelwal - Co-Founder and Director QuantInsti (Algo trading finance)

Technical differences between Python and Java

While there are differences in the approach and adoption of the language, it’s important to understand the functional differences therein. From a scale stand-point, it’s critical to review the technical scope of Python and Java. Are there differences from a technology point of view? Yes, there are.

Performance

As the languages only have semantics, therefore to compare the speed of language choice of specific effectuation is important to be identified.

Popularity

Before the evolution of Javascript (ReactJs, AngularJs and NodeJs), Java was considered to be the most popular language of all. On the other hand, according to Github’s octoverse, Python is considered to be the most used language, and Java comes on the second position. 45% of the developers know about Java, whereas 39% only know about Python. As per the developer survey of 2018, Python is considered as the fastest growing computer programing language.

Web Development

Python and Java both are utilized in the backend web development where the developers build frameworks which is considered as an abstract software to construct the backend technology. The two commonly used frameworks are Django and Flask for Python. As a rather relatively less trending than Django, Spring is used as the framework for Java.

Code readability and formatting

Often the developers face confusion regarding which programing language should they choose for their upcoming projects amongst Java and Python. Python has sustained longer than the new languages and it is one of the fastest growing programming languages.

According to the language survey report placed by Digital Ocean, Python is accepted as the second best programing language for open projects. Also according to the index chart prepared by TIOBE, Java is categorized as the best programing language, and Python is regarded as the third-best language.

Regardless of all these numberings and ranking it can rest be assured that Java and Python are quite exclusive and strong languages with cross-platform support generation and standard librarian authorities. All of the particles are treated as objects by them. Python is generally compiled in runtime but both of the languages are run in bytecode. Amidst all these Oracle released a new model for Java.

In the specified case of code readability and formatting, the procedure is usually to open a large text box or text file and relatively collect every line into various sets of 50 comma-separated records. Through this mode of derivation, it has been noticed that the coding and formatting of Python are much linear and less dispersed which makes it relatively less difficult to apprehend. On the other hand, Java coding and formatting uses multiple extensions and the denotation, and reference points are broken down in several stages. Therefore, particularly for code readability preferences and formatting, developers prefer Python over Java.

Typing

The syntax used in Python resembles the commonly known English language. You can read the code and interpret it quickly. It does not take a highly advanced technical knowledge to understand the differences that Python is highlighting. Additionally, from a compliance stand-point Python remains compliant to all known entities, corporate policies, and guidelines for best practices in coding. Python is also regularly updated, which means that staying secure is now much more comfortable using Python. With regular updates and patches, companies can code better and faster.

Python is also a more natural language to learn from the ground up. It takes longer to master the style, but the core mechanics and coding requirements are quite simple to adopt. You can then create more nuanced frameworks based on that language for your specific project. You can also design the plan to be based on that framework for drag and drop functionalities. It’s the perfect language to deploy if you’re working with multiple teams and different ecosystems.

Java is statically typed, and Python is a dynamically typed. Names in the code are bound to strongly typed objects at runtime. There are minor challenges in legibility as the code is laid out. Python support is also differentiated into smaller communities working on the technology. While Java has been centrally updated, Python enjoys community-involvement and development. Both languages are compiled down to bytecodes that run on virtual machines as well.

When it comes to Java, there are various advantages to using the language. Java supports only one programming paradigm: object-oriented, giving it a clearer objective and use case. It is updated by one entity, and therefore the quality is maintained throughout. The added advantage is that when Java contains errors, it will just not compile. Coders can review their code again and create better models.

All developers know that Python’s database access layers are not as active as Java’s JDBC (Java DataBase Connectivity). This leads to the popularity of the language. From a technical standpoint, this is important to note, as it is one of the reasons why Java is massively prevalent in the developer community.

It is also known that Python is easier to use owing to its simpler language structure and syntax. It’s not that you can’t do as much with Python as you can Java. It’s that you can perform different objectives with either language. You can also develop applications that are more robust when you use both languages together.

Brevity

For both the languages, a blockage is created as soon as the declaration is commanded. The resourceful files and text boxes stay within the access. In the case of Python, as soon as the loop reaches the end it automatically gets out. While in Java the process is relatively compound. Here, a buffered reader is passed through a file reader and at the end of the file, the null files are rechecked and scrutinized. The Python demonstrations are clear, concise and transparent, whereas Java is relatively more tedious. Python is capable of running a script much easily and quickly, whereas Java demands the requirement of one entry point.

Python vs. Java Comparison Table

To summarise the above-mentioned differences, the following is a tabulated version of the major differences between Python and Java.

Topic	Python	Java
Code	Generally, the coding procedures and inserted codes are comparatively much shorter and concise.	In the case of Java, the documentation of the code is quite longer than the usual. It is also definitely static and mainly void compared to Python public Class.
Syntax	Indention is extremely necessary for Python as it helps in reading the code more clearly and distinctly. Apart from that, the statement in Python can end anywhere without even a semicolon.	Generally, curly braces are utilized to create some particular blocks in Java. The coding does not materialize without it. On the other hand, Java displays an error if no semicolon is used after the conclusion of a statement.
Dynamic	Python goes through the process of duck typing, where the variable type is not at all necessary to mention. Therefore it is considered that these codes are dynamically typed.	Java won’t be working if you don’t address the data type in the midst of the phase.
Speed	Python helps to interpret as well as the identification of the datatype is conducted in the runtime. Thus it is noted as a language with low speed.	Java is swifter, smarter and faster. The best in the market when speed is concerned.
Portability	The portability of Python is not as good and popular as compared to Java.	The sign of Java’s relatively high portability is its virtual machine which is obtainable from anywhere.
Database	Enterprises do not approve the use of Python databases as the access layers are quite feeble as compared to Java.	The database connectivity of Java is quite strong and popular.
Ease of Usage	Because of the dynamic coding and indention, Python’s coding is easy to understand and comprehend.	Java is comparatively much harder to use due to the absence of dynamic programming.
Practical Dexterity	Python includes data science and operational management, which makes it sustainable in the talent space.	Due to the presence of Java’s static system mechanism, it attracts as well as obtains uninterrupted support which is refactored.
Legacy	The legacy issues adjoined with Python is comparatively less, that is why institutions find difficulty in coding.	The legacy structure of Java is bigger and legion in comparison to Python, therefore the coding style is comparatively tedious.

Industry Demand for the Languages

We’re seeing increasing demand from the industry with regards to which language is being used where. While both languages are equally popular, Python is taking the lead regarding modern innovation. Python has the flexibility to be used across various projects and schemes of design. It can also be used as a precursor to much of the innovation we see in the Machine Learning space. There are also advantages to having Python be integrated across the board, as well as be leveraged by multiple organizations across different industries.

Python can be used to design the most sophisticated apps and Machine Learning algorithms that you have seen. It's also coding much of the world's innovation, regarding IoT processing and database management. Python can also be used as a bridge for many different applications that rely on multiple languages to be run across different systems.

Added to that, since Python has variants of both C and Java, there is some flexibility offered there. CPython and Jython are commonly used across various platforms to provide similar levels of efficiencies as the languages mentioned above. It’s a great way to design a comprehensive program that relies on these core languages. Much of the innovation provided by the open source language has been developed by core tech companies like Google and Facebook. These companies have refined the language and developed complicated designs that go off the core language.

Python is generally known as the Swiss Army knife of the coding world, due to its versatility and flexibility in use. That’s why it has become increasingly popular over time. Companies can adopt Python to perform some uniquely complex processes over the long-term.

Java, on the other hand, is the perfect language to deploy when working with client-side experiences. It’s the right language to work with when developing applications and software integration. Technologies such as Blockchain and smart contracts are benefiting from the mainstream adoption of Java. Java has been in the market for decades now, with upwards of 3 billion devices using the core language. From a popularity standpoint, Java is in a unique place. The market requires the offerings provided by Java.

From IoT to ID technology, Java runs across these platforms as the backbone of the integration. Java has enough flexibility to incorporate much of the requirements within the industry. Java has been used for web development and design projects that integrate motion graphics. Java also deploys across various mobile and web apps that need complex coding. From a logic and learning stand-point, Java is a unique language used widely. The core philosophy of write-once and run-anywhere is a valuable add-on which has contributed to the rise of the language.

Some of the largest companies in the world like Airbnb, Uber, and Amazon deploy Java’s capabilities to create memorable experiences. It’s one of the most robust languages to ensure positive outcomes, especially when it comes to designing consumer-friendly applications. From a dynamic website to a multi-functional app, Java is a higher language to create your product in.

Java is also fuelling much of the connected devices that are in the marketplace. Everyone remembers the iconic Amazon Go button that can be pressed to order groceries automatically. Additionally, Amazon’s self-check-out process is also designed using Java extensively. When it comes to connecting the digital and physical world, it’s essential to use Java for your programs.

Innovations in Python and Java

Kite is a newly launched framework that is developed off the core Python language. It’s perfect for deploying across ML and AI programs. It recently raised $17M for its AI-driven code completion tool. It aims to use ML and AI to reduce the burden on developers.

“That’s why [developers] spend so much time on Stack Overflow. That’s why they spend so much time debugging fundamental errors and looking up documentation, but not so much time looking at how the solution should work. We thought we could use machine learning to fix that." - Adam Smith, Founder Kite.

Kite is one of the main innovations to emerge in Python that is helping developers to write better programs. Its aiding developers to write some of the best code that they can. It’s also shifting our perspective in the domain of Python, especially in the case where development needs to be done in a lean manner.

Python is also being used in much of the Machine Learning and Artificial Intelligence packages. The flexibility that the language offers is unparalleled. Google’s open source TensorFlow is also one such popular framework that leverages the capability of the language. It democratizes machine learning in a significant way and creates greater avenues of development and exploration.

Even Amazon SageMarker is converging with Jupyter Notebook and Python to create a more comprehensive program. This is aiding Big Data to come to fruition, along with sharing new insights that can emerge from analytics. Additionally, Python is creating innovation in the NLP space as well, as more complex algorithms need greater data sources to pull information from. The architecture can be designed using Python, especially when it comes to creating a robust model that relies on multiple inputs. Python can be innovated upon from various organizations.

Java sees updates and innovations on a smaller scale. The language is used extensively across various industrial applications and especially in the B2B space. That’s where a lot of companies hire Java developers exclusively to design complex projects. The processes necessary to develop these projects require Java extensively. Java is also leveraged widely to create quality applications that are innovative in their approach. Java is designed to improve efficiencies in the design process.

It's important to understand where Java is heading from a language perspective. This will enable us to get a clearer idea about how scalable the language is. With the emergence of EE4J and MicroProfile Projects, Java has become a recognized language that allows greater flexibility in the coding domain.

“MicroProfile is a set of specifications for doing Java microservices, and that community has done a great job in really bringing forward a lot of new specifications and doing it quickly. We're now seeing real multivendor engagement around micro-profile, and we're seeing lots of people showing up in conferences in talks about it, so there's a lot of interest out there around this technology. MicroProfile is setting us up for having more success for Java in the microservices area. The migration of critical Java applications into the cloud is only going to accelerate, and we think MicroProfile could be a big part of that.” - Mike Milinkovich, Executive Director of the Eclipse Foundation.

Kotlin has also aided in the advancement of mobile and Java development, along with providing the essential framework for increased innovation in the space.

When it comes to VR/AR and interactive technologies, Java can be used as a viable solution for development and design. While Java is being used extensively across industries, its real potential is unlocked by scale-driven applications. Java’s extensive reach is best seen in enterprise cloud apps that are designed to perform multiple functions. From increasing core security to designing better compliances, Java is used across a multitude of innovative applications.

Potential of the languages

There is massive potential in both languages, both from a technological and growth standpoint. Each approach is unique and beneficial to the greater business community. Additionally, when you have two massive languages such as Java and Python, you want to leverage their core to the maximum potential.

E.g., if you have an app that leverages AI, then you need to use both languages to design the outcome. You also need to find a way to enhance your Machine Learning offering before entering the domain, which is going to require a thorough understanding of cross-functional coding. Full-stack developers may be used here, but experts are also recommended across the board.

Java has massive potential in the client-side and customer-facing domain. The language can be used to code complex applications that can be scaled up to millions and billions of consumers. Many of the world’s biggest apps are being designed using Java. Python is dynamically interpreted, with Java leveraging more efficient coding architecture. There are also extensive libraries available to developers that want to enhance their skill set. Statically typed languages like Java are naturally faster, producing more efficient code across the board.

This has opened up space for Java to flourish and take over in a sense. The language can be used extensively to code some of the most complex applications worldwide. Java is also used by 90% of Fortune 500 companies and is being leveraged across the tech sphere as well. While many talks about the security bugs that can enter via Java, they're not taking into account the vast number of applications that run the technology. It’s a robust and scalable solution that can be used to design applications under any capacity.

When it comes to Python, it’s one of the more popular languages in 2019. This is because the scope for Python has expanded to include some of the most dynamic projects that you can code. Python has the capabilities to run complex algorithms and logic-based applications that can be developed to compute exciting innovations. Machine Learning, Data intelligence, and AI have used Python extensively to code some of the more unique applications.

Industries that rely heavily on Python are also those that are running multiple applications within the program. This has made Python increasingly popular, owing to its compatibility across domains. In other words, you need Python to code many innovative and potential-bound applications. You can also create new avenues of development using Python, especially when it comes to apps that work on neural networks. Because Python supports multiple coding paradigms, it can be used for scale-driven applications easily.

"Python is an unusual case for being both one of the most visited tags on Stack Overflow and one of the fastest-growing ones. Incidentally, it is also accelerating. Its year-over-year growth has become faster each year since 2013. We make the case that Python has a solid claim to being the fastest-growing major programming language." - David Robinson, Stack Overflow Data Science Dept.

For developers looking to enter the domain of AI, ML, NLP or advanced computing, Python offers more significant rewards. Developers working on Python also earn more than those that work on Java exclusively.

The importance of being multi-language oriented

For large-scale projects or even small integrations, having a rough idea about the other language is critical. It helps in becoming more full-stack oriented and handling the more complicated process. The biggest challenge in the development community at this point is the lack of understanding of the other language. Full-scale communities are being developed that lend to the overall process of either’s development.

However, what developers need to understand is the importance of the other's existence. It's critical also to gauge the frameworks present in either language. You don't need to understand Python or Java fully to leverage the right structure required for the job. This makes projects that require complex coding easier to break down. When developers have an understanding of the objectives of each frame, it becomes simpler to execute.

When you take a multi-language approach, you start to focus on the objectives of the code rather than which coding mechanism to adopt. Additionally, from a framework perspective, there are more options available when you take different languages. You can create a broader scope for your project and design a more robust system. There are challenges with staying consistent with the only word, which you may come into when your project scales up.

Conclusion

While Python and Java are two of the most robust languages out there, the differences couldn't be more significant. Both languages are designed for specific functionalities and can be leveraged across various parameters. As they're used extensively across domains, they have a greater impact on the overall dynamic of their coding environment. While Java is a statically typed and Python is a dynamically typed one, both languages offer benefits that are invaluable in the industry. Java is a compiled language, and Python is an interpreted language. While there are many differences across the board, developers need to be proficient in both coding environments. Projects may call for both languages to be fully explored, and they’re some of the most desirable skill sets to have in 2019.

Originally Posted on Cuelogic Blog.