Artificial Intelligence as a Futuristic Technology

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What is artificial intelligence?

Artificial intelligence is an innovation to ease the human life. Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.

AI systems are typically built for at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity.

AI

Applications of AI technology in day to day life-

1. Commercial airline flights

2. Product recommendations at online shopping

3. Image recognition

4. Speech recognition

5. Google predictive searches

6. Mobile Banking

7. Locate traffic and discover the best route in Maps and directions

8. sorting of emails used by Gmail

Future of AI in healthcare-

AI in Healthcare

Healthcare industry is developing by technology due to the use of medical devices, equipment and processes that spread in the industry. Healthcare Imaging/scanning such as MRI is a present use of AI. In future, AI may not just forecast potential issues and illnesses. It can likewise recommend what stages a patient should take and how therapeutic staff ought to respond for this.

In the future, use of AI in healthcare could offer cultivated medical decision support. This can be done by automatically adding patient data and finding the best treatment plan. Meanwhile, natural language processing tools could help doctors. These tools can easily create medical files of patient by verbally discussing an examination with a patient. After the monitoring is complete, an AI system can send a bill to the patient’s smartphone immediately. AI- powered devices could help to track the movements of elder persons and habits around their house. This helps to evaluate their cognitive performance throughout the time and to alert medical experts if something seems to be happening wrong. 

Future of AI in Transportation-

AI in Transportation

Transportation problems occur when system behavior is too difficult to build and behave according to an anticipated pattern, influenced by things like traffic, human mistakes or accidents. In such cases, AI helps unpredictability. AI predicts decisions appropriately by observing data. Self-driven cars and trucks have been at the peak of interest in the last several years. In the business segment, Uber and Elon Musk have delivered self-driving trucks. This helps to decrease the number of accidents on highways and increase productivity. At night, truck driver causes many accidents, and this is the major problem. Use of smart unmanned vehicles is the best solution fro this problem.

The street cargo transport can use precise expectation techniques to figure their volume utilizing AI strategies, which simplifies transportation company planning. Additionally, several decision- making tools for transport can be designed and run by AI. This will affect investments made by companies in the future in a profitable way. When traveling by public transport in urban areas, Safety of citizens is enriched by tracking crime data in real time. This will help the police to increase their performance by patrolling and keeping their citizens safe. Expenses of work in the transportation division will diminish with expanded utilization of AI,and it results in high benefit. The issue of long driving hours and stop for a break will never again be a worry with completely automation by AI.

Future of AI in Agriculture-

AI in Agriculture

Agricultural sector contains more labor work. It causes less productivity due to human errors and less benefit due to low efficiency and more time required. Agricultural sector should use AI. Loss occurring due to wrong decision making by the farmers will be reduced. Decision making AI tools will accurately predicts which type of crop should farmers use for farming. This AI tool’s prediction carried out according to the type of soil and natural climate in that region.

Driverless tractors will help to plough the crop in farms in more efficient way which reduces time and efforts. Automated irrigation systems will use real – time machine learning to constantly maintain desired soil conditions to increase average yields. Not only does this require significantly less labor and but decreases the production costs. Traditional crop health monitoring system is time consuming and many times causes loss due to human errors. With the help of AI, companies are developing automated detection and analysis technologies – such as hyperspectral imaging and 3D laser scanning – will increase the accuracy and amount of data collected. With the ability for microscopic data collection, farmers will be able to produce diagnostics specific to individual plots or even single plants.

Future of AI in Education-

AI in Education

In future each child may have a personal robot throughout the school system so as to act as a personal assistant. The robot will carry all the information taught to the child and help them as a personal tutor when required. Most of the teachers have a workload beyond the teaching to a student such as keeping track of progress of each student, grading, paper checking could be done by robots. This will surely reduces teachers time and it can be utilized in making personal interaction to students and help them personally in their studies.

Teachers can use AI technology to learn foreign languages and complex programming techniques at any time. Because AI operates on a computer system, it would be possible to connect different classes around the globe, enhancing cooperation among schools and nations in general. If each student gets to keep their own personal AI- powered robot, they’ll always have a teacher to simplify tasks for them.

Future of AI in Software Industry-

AI in software industry

With AI, the machine does the testing instead. It comes up with many more different types of tests. It automatically runs many more tests than a human could supervise. And it also handles the changes in the code and UI that previously had to be made by QA professionals. Some examples of this are adding fields or changing the inputs and prepare for outputs.

AI is going to replace testers as we know them today. Instead of being a QA team, software testers will be a test automation team and humans will supervise the outcome of the test, adding the critical human element. After all, there are three types of requirements for testing (implicit, explicit, and latent). But only explicit testing can be done by AI. In record keeping system, AI in software industry,robots will keep the records of employees with more efficiency and accuracy. At service centers, AI integrated robots will give answers and desired solutions instead of humans, this will give accuracy and saves time, money and reduces workload.

Final Words-

Some industry experts believe that the term artificial intelligence is too closely linked to modern culture, causing the general public to have fear about artificial intelligence and unbelievable expectations about how it will change the workplace and life in general. Researchers and marketers hope the label augmented intelligence, but people should understand that AI will simply improve products and services, not replace the humans that use them.

If you’re interested in adopting AI technology for your business, then you might need some help. Solace is an ideal place to start, and the experts there will be more happy to develop AI system for you and set you on your way to business innovation. Contact us for developing AI system to incorporate in a business which tends to success that you deserves.

Deciding the need of a Big Data Infrastructure

What is Big Data?

Big Data

Big data is characterized as the data that can not be prepared by customary methods and systems, because of its large size and complexity. The word Big in big data means petabytes or exabytes of data. It is calculated that nearly 90% of the data that we have today has been generated in the last two years. This implies; exponential growth in data volume is going to proceed. This growth will increase further with the increase in IoT (Internet Of Things).

Data analytics mainly uses Big Data. It gives necessary insights into business operations of any business. It helps businesses in growth, competitiveness and profitability.

Need of Big Data –

There are many challenges for handling a huge data in applications. Big data is no longer growing trend. This is now time-tested, accepted with a sound, secure, stable architecture. It is synchronized with information, generating efficient analytics by organizations, ranging from data oriented start-ups to big technology giants around the globe. There are many tools on the internet, there is considerably more to it than Big Data alone.

If you hold a large amount of various data, and from this you need to find out answers at fast, you may look at the opening gates called “the three V’s” of the data. This means that you are ready to look at better solutions that fulfils your need of data. Can you say that it is enough? Of course not.

Do you want to turn your existing application asset to a bigger store for a theoretically possible performance? How big are your existing data security issues and how would you deal with the same on the new infrastructure? Is your data “big” enough for these solutions? Such questions carry you to a point where you have to think about a couple of significant things. You realize that first, the idea of building an efficient big data infrastructure, lies the need to build a decision on whether to present a big data infrastructure or not.

Why need big data ?

Organizations or businesses requires a big data services to allow them to survive in a fast growing and increasingly competitive market where the sources and the requirements to store data are growing at exponential manner. To handle high volumes, the data storage should be elastic and scalable. Cloud based storage is a better idea for most businesses because it reduces investments. There are no physical systems on site, means that it saves space and power consumption. It handles the data security issues. You require tools to enable virtualization and carry out data compression. You should require object-based storage architecture to handle a large amount of files. organizations are looking out for the solution that can store complex unstructured data and which do not have predefined schemas.

Big Data solutions do not force a schema onto the stored data. Instead you can store any type of structured, semi-structured or unstructured data and then apply a suitable schema when you query this data. Big data solutions store data in raw format and apply a schema only when the data is read. This preserves all information within the data. This is contradictory to the way of traditional database.

Data Magnitude Determination-

In 1997, the first documented use of the term “big data” appeared in paper by scientists at NASA. It describes the problem facing by them with visualization. Generally data sets are large, taxing the capacities of main memory, local disk and remote disk. This problem is Big Data. When there is a situation like data sets don’t fit in main memory, or when they do not fit on local disk also, in such cases the solution is to acquire more resources.

Another most important factor is what you want to do with the data. The problem is big data solutions is that they are numerous. Getting the perfect tool is important for the cost, efficiency and delivery constraints also. Creating an understanding of these factors is a main requirement of big data infrastructure requirements.

Necessity of Advanced Analytics-

An interesting thing that gives thought on analytics is- one of the financial services firm which turned to big data to better identify which new client opportunities warrant the most investment. The organization enhanced its client statistic information with third party data purchased from eBureau. The data service provider appended sales lead opportunities with buyer’s occupation, earnings, age, retail histories and related factors. The advanced data set is then applied to an algorithm. This identifies which new client leads should receive additional investment and which should not. The result has been 11% hike in new client win rates. At the similar instance, the firm has lowered sales related expenses by 14.5%. 

There are some benefits that big data analytics offer are – Getting answers to complex business problems, creating cost effective requirements to bring in more customers, analyzing existing values to predict faster and better business decisions, and also exploiting machine learning analytics to make self learning systems.

Right time for data transition and security issues-

Data-driven transition must start with your business goals and also objectives. As you understand your business objectives then you are ready to create a roadmap for leveraging new data sources to help you achieve them. Also, technology is not only enough to transform your organization into a data-driven organization. Creating a platform that understands data, securing the data and how to use it is just as necessary. The challenge of detecting and also preventing advanced persistent threats has bought the importance of security responsibilities in light.

Conclusion-

Data is expanding and so is the necessity of organizations managing it rises. Some of the technologies like IoT applications, web and cloud analytics, image processing, data science etc. are also growing rapidly. And it realizes the necessity of data mining. Technology solutions are rapidly growing and with the same speed big data technologies are also rapidly evolving.

Are you looking to develop a web application for your business having large amount of data? Just relax, Solace experts are capable of incorporating big data for web solution. They believe in benefits of using big data. Contact us for web development of your business where there is a need to deal with big data.

How to use both Django & NodeJS as backend for your application?

Quick development of web applications is very difficult, time consuming and also resources consuming. Every web app development language and framework possesses its own advantages and disadvantages. Some of the web app programming languages causes slow development, security issues. Some languages are complex and hard to learn. Therefore you need an easy and effective way to build  effective web apps easily and rapidly.

The disordered nature of technological development at some point tosses a world into disruption. Javascript programming language is the better programming language with its recent rise to the top in the bunch of a modern programming languages. Becoming the first stable language which you can’t do without on the web. JavaScript gains more power, awareness, functionality and the ability to reuse existing apps with the ascent of NodeJS( a javascript engine).

When a point comes to the Python language, you should aware about the popularity of it. It is the highest progressive programming languages, which is easy to learn and also to use with more number of functionalities.

How to use both Django & NodeJS as backend for your application?

The strong reason you need to know to use NodeJS in addition to Django is, if there is a real time or multiplayer aspect to your application.

Django is useful for outlining your requirements. Once you get to know what you are going to build, you can build the real time data retrieval into NodeJS and allow Django to handle maintenance functionality like password reset. It also lets you build high-performing and elegant web application quickly. It also focuses on automating as much as possible.

Django backend setup for user- login, user management along with set of templates. These are used to display HTML titles and NodeJS is to add real time functionality to the application. Libraries of Django allow two users to type in text box and also have text appear on both their screens. Django is a right choice when you need to use a relational database. Relational database is necessary when you want ACID properties on your transaction for eg., processing payments. For form handling, cache system, templating system, admin interface etc. Django has neatly packaged the best of web development in a very convenient project.

Whereas NodeJS is the right choice when you can have an asynchronous, event stack-form the web server all the way to your persistence and the immediate libraries along the way.

Integration of NodeJS and Django-

It is possible and more useful to run more than one backend for different purposes. We need a general solution to have a real time communication with client on possible browser. The server part of library runs over NodeJS. This gives high performance event-driven framework to manage the exchange of message with client. You just need a way to connect the socket.io server running on NodeJS with Django app. This can be achieved by using Redis. It is basically a key value store but it also provides a way to subscribe and publish to keys. So it becomes a message carrier with this architect socket.io. Server will subscribe a user specific keys, on to which Django is going to write a notification. As soon as the message is received, the server will send it to the connected client.   

Challenges you mostly face:

-The biggest challenge when you use both Django and NodeJS as backend in your app is -How to handle authentication and authorization?

-For that you can use client_id/ client_secret from your application or access_token from a user that use your application

-Some features need an access_token to work.

Who uses this?

Instagram and Pinterest are using both Django and NodeJS as a backend. Those two has a huge growth, lots of users, lots of data, with very few employees all on the cloud. They use both Django and NodeJS as a backend service.

Django and Node.JS both are used for identical purpose like real time photo updates, quick push notifications to users and also makes many things easier. NodeJS has given its basics in event driven programming model. It is usually suitable for long polling style of app. Also useful within Django web app like Instagram and Pinterest.

Are you looking to develop a web application for your business? We at Solace believe in the benefits and effectiveness of using Django and NodeJS for backend of application. Our expert’s team will there to develop effective web app that will give success to your business that it deserves. Contact us for web app development with effective backend.

AngularJS 2.0: New Framework, New Expectations

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AngularJS has ruled the universe of open source JavaScript frameworks start from its release. It is an advanced client- side MVW framework, which achieved a great support and adoption from individuals and also organizations. Google in 2009, developed AngularJS. It improves HTML. This will used for developers in web applications and also simplifies testing and development. It also simplifies the technical issues to the ease of developers. Rather than the fact that AngularJS 1.4 is both stable and exceedingly productive, the most recent version 2.0 came to release. It also come up with a feature having complete rewrite of entire framework and with immense changes.

AngularJS 1.0 is built for the current browsers whereas Angular 2.0 is being built for the browsers of the future. Let us discuss the expectations that developers have with the new release of AngularJS 2.0 version. Let us see.

1. Easy and Fast-

Angular 2.0 requires a learning curve likewise of AngularJS 1.0. It is expected from AngularJS 2.0 that easy to work with, as compared to the previous AngularJS versions when developers becomes used to it. AngularJS 2.0 also held new developing web standards. The fundamental idea is simpler and communicative framework with improvement in performance and speed. It also supports browsers compatibility which is the greatest advantage. AngularJS is not easy to learn for every developer. Hence, developers should have detailed knowledge of the main features. Some restrictive features like custom directives requires some understanding. Developers believe that AngularJS codebase should be short and compact. AngularJS would support the latest functionalities without worrying about the backward compatibility and polyfills. As a result it will ease the AngularJS app development process.

2. Browser Catalysts-

Quick working browsers is another need of developers. The AngularJS 2.0 codebase would be short and compact and also should support the features of the latest browsers. As a result, this eases the AngularJS app development process. AngularJS 2.0 version helps you to gain more users around the world.

3. Dependency injection-

Dependency Injection (DI) is the most important feature of AngularJS. This component of AngularJS separates Angular from its competitor’s frameworks as it repels coders from writing a lot of tedious code for application. A solitary API is available for dependency injection. Three elements in AngularJS made Dependency Injection

 i.Dependency- Type of which an object must be created.

ii. Provider- Likewise a person gives directions, directs the injector on creating a dependency. It uses a token and maps it to a factory function that creates an object.

iii. Injector- It exposes APIs and creates examples of dependencies.

4. Pro-Mobile –

AngularJS 1.0 was developed by taking into account with mobile. As developers use it to build mobile apps, they were facing some performance issues. Developers were waiting for features that were mobile specific for eg., low memory, touch support and performance tuning. AngularJS 2.0 will take into account building applications on mobile having features like UI elements design and also performance tuning, bandwidth usage, touch support etc. Developing mobile apps ensures to be simple and easy with the help of new features.

5. Application loading-

AngularJS 2.0 will encourage application to be load in parts, the most important part would load at first. After transferring to another part, that part will be loaded. So, it reduced the initial load.

6. Forms and logs-

Building forms in Angular 2.0 is easy. Here you can create a Control Groups in the form and that each group is made up of many controls. Each control has a common way to define basic properties like assigning validators. To track time spent on a specific application it uses a logging service. This eases you to find performance issues in the code.

7. Routing-

Routing supports many requirements and needs. Sibling views and nested states are the features that will stand with the core AngularJS router. Different inclusions that developers are demanding to see are extensive and pro-utility features likewise the location service, hash change, push state child router, location server etc.

8. No two-way binding-

Amazing, taking into account that the feature has been very convenient in past Angular forms. Performance is a reason for the oversight. Resolution in data binding affects performance. It is not yet clear what will replace two-way binding.

9. Changing World of Web-

The web has changed and surely it will continue changing also in the future. The current version of AngularJS cannot work with the new web components like custom elements, HTML imports, shadow DOM etc. which allow developers to create fully encapsulated custom elements. Developers are hoping that AngularJS version 2.0 will fully support all web components.

10. ECMAScript 6-

The scripting language specification ensures better performance. You also have the option to continue the use of ECMAScript 5. Every component will have a view and also a JavaScript class. A standard executed by JavaScript, ECMAScript 6 is thusly, upheld by the programs. HTML specifications are used by an organizing body and finally use by other browser vendors. Different browsers use these specifications in wide – ranging ways, so the support is increased to various features. 

Need to develop an effective web application for your business? Solace has dedicated team expert in new version Angular 2.0, that will help you to develop best web app. We at Solace believe in effectiveness and benefits of using Angular 2.0 for web app development. Contact us for web app development that will help your business to success it deserves.

What is Rapid Application Development? Why & When Should You Use It?

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What is Rapid Application Development?

Rapid Application Development model is a type of Agile software development and came into existence when it came to know that traditional waterfall model is not effective when the software is in testing phase. When the program is in testing phase, then changing the core functionalities is too hard.

Rapid Application development model mainly focuses on the rapid prototyping rather than complete require gathering at the same time. Speedy feedback over lengthy development and testing cycles can be taken in RAD model. Due to this, changes needed to take place at the time of final testing will reduce and so reduces the complexity to do changes at the extreme end of development phase.

RAD methodology

In other words RAD is less talk and more work, and yes more and more testing. RAD de-emphasizes the strict planning and emphasizes the development cycles. That means at the initial stage, roughly requirements are gathered and designs a rough software mode according to rough core functionalities at the initial stage. Then Customer goes through this model and according to his feedback and requirements next development starts. Requirements can added in any stage of development. And according to these changes designing and development takes place.

How does it work?

RAD Development

1. Requirement’s planning-

This development model includes requirement planning. Requirements can be added in further regardless of other models to plan it all in the beginning.

2. User Design-

It is a main part of RAD Model which keeps it apart from other models. When goal of project decided you are free to move towards development. Various prototype iterations builds project design. Practically it is a customizable software development in which developer designs a prototype, then user tests it and then they evaluate what worked and what didn’t. Basically, both the developers and clients work together to achieve the goal of a project.

3. Rapid Construction-

In the construction phase, the prototypes designed in previous phase are converted to working models. Majority of bugs are detected during iterative design phase, so it becomes easier and quicker to build a final working software model. However, client can give requirements, suggest changes and modifications that can solve when they came to know. The product is continuously working by designers, coders, programmers, testers until the final product meets client’s requirements and objectives.

4. Cutover

It includes all the final changes, data conversion, testing, and the changeover and the new system get ready. This phase includes user training. This phase includes performance testing of final product.

When you can use Rapid Application Development ?

1. When you need to complete a project quickly-

Rapid Application Development is your best choice among other development models when you have got a tight deadline to meet or you’re under pressure to deliver something that works properly. Decision for using RAD saves your time that you would otherwise need to go through a long requirement planning and design phase. With RAD, you can take an on-the-fly approach, which can change the direction of the development efforts, on a dime. 

2. When You Can Reliably Test Your Prototypes?-

If you have a lot of users and they can give you accurate feedback, then RAD is your best choice. Prototypes built through the Rapid Application Development Model depends on the feedback from previous iterations, so accurate feedback from dependable sources is progressively helpful. 

3.When You’ve Got the Budget-

The Rapid Application Development method is cheaper than other development models. However, there are some cases where RAD can be expensive. At that time you may need to hire technology experts and give them fitting salaries but on the brighter side, if you’ve got the staff then you can get your idea developed much quicker than any other model.

4. Minimum Changes and Less Time –

When already existing system components have to used in developing a new system with minimum changes, this model is the best choice.

In short if you have less time to develop a software then you can go through this RAD model. This model gives you the best software solution in minimum time with high effectiveness.

Why you should use RAD Model?

There is nothing more important for a developer than obtaining user feedback during the software development. RAD model provides a way to give continuous feedback by repetitive iterations and prototype release,  which gives entire team significant assessment and analysis at the right time. Due to frequent iterations, components and prototypes being released , the progress of overall project and independent components can be easily measured. In RAD, each element of development is partitioned thoroughly and hence it can be easily altered when in need. Code can be changed easily because RAD software is flexible.

Advantages of RAD-

• You can change requirements at any time
• Customer feedback is at higher priority
• Quick Reviews
• Required less development time
• More productivity with fewer people
• Time between prototypes and iterations is short

Need to develop a software that will represent your business? Experts at solace are there to help you for web development using Rapid Application development. They believe in effectiveness of RAD model for effective development. Contact us for web development that helps your business to stand out in this wide market.

Scaling Node.js Applications

Scalability in Node.js is not reconsideration. It is carried out at the centre of the runtime. Node is named Node to highlight the idea that a Node application should ought to include various little disseminated nodes that can communicate to each other. Cluster module of Node not only provides an out of the box solution to use the compleet CPU power of a machine, but it also helps with increasing the availability of Node processes and provides an option to restart the whole application with a zero downtime.

Strategy of scaling the Node.js Applications-

Horizontally Scaling your App- 

Horizontal scaling comes to duplicating.

Shorly, you duplicate application instance, and this enables it to “cope with” a large number of incoming connections.

do remember, however, that this scaling solution may include pointless complexity to app’s infrastructure; it may involve the need to provide and maintain a load balancer, might make troubleshooting more challenging and change the way of deployment of your application. Ensure that it is particularly this Node.js scaling solution that your projects needs before you go a step forward and implement it.

Vertical Scaling-

If your scalability architecture needs involve only than:

1. injecting more power 
2. adding more memory
    

… with no particular changes applied to the code, then vertical scaling be an option for you to scale the application.

The Cluster module-

The cluster module is used to enable load balancing over an environment’s multiple CPU cores. It is based on the child process module fork method. This basically allows us to fork the main application process as many times as we have CPU cores. It will then take over and load balance all requests to the main process across all forked processes. Cluster module makes setting up child processes sharing server ports conveniently easy.

Practically,

one “master” process will be in charge with spawning all the child processes (and there’s one “worker” for each core), those that actually run your Node.js app.

Limitations of the basic scaling solution- 

1. in case one of your child processes “dies”, it doesn’t… regenerate itself
2. you’ll need to handle the master-worker processes difference… the “old school way”, using an “if-else” block
3. there’s no way of modifying multiple processes, at once, on-the-fly!

Following code would enable the master process to… respawn the “worker”:

cluster.on(‘exit’, (worker, code, signal) => {

 cluster.fork();

});

How to Scale Your Node.js App-

Decomposing-

We can scale an application by decomposing. It is based on functionalities and services. This means having multiple applications with different code bases and sometimes with their own dedicated databases and user interfaces. Microservice is another name of Decomposing. Whereas Micro indicates that, these services should be as small as possible. But in reality, the size of the service is not what’s important but instead of the enforcement of loose coupling and high cohesion between services. Implementation of this strategy is not easy. It could result in long-term unexpected problems. But is it done correctly, its advantages are great.

Cloning-

Cloning is the easiest strategy for solving your problem of ‘How to scale the Node.js app?’ Here, you just need to clone your  Node.js back-end application, multiple times and assign a particular part of the workload to each cloned instance! It is effective and cost-effective. Cluster module of Node makes cloning on a single server ideally easy to implement! You have such various strategies to choose from, depending on your scaling needs.

Splitting-

We can also split the application into multiple instances where each instance is responsible for only a part of the application’s data. This strategy is named as horizontal partitioning or shading in databases. Data partitioning requires a lookup step before each operation to determine which instance of the application to use. For eg.,You want to partition your users based on their country or language. We need to lookup of that information first. Effectively, scaling a big application should implement all these three strategies. Node.js makes it easy to do this. Ensure that, you need a good understanding of Node.js child processes.

Are you looking for a web development to boost your business? We at Solace believe in benefits and effectiveness of using Node.js in development. Our expert’s team will surely give you the best solution using new features of Node. Quote us for any software development using Node.

JavaScript vs TypeScript: A Comparison

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As we all know that JavaScript is lightweight, interpreted programming language while TypeScript is strongly typed object oriented compile language. When JavaScript was growing, it’s speed became complex and overwhelmed. Due to this JavaScript was even not able to fulfill the requirement of Object- oriented programming language. Hence JavaScript is lagging at enterprise level as a server- side technology. Development team developed a TypeScript to overcome this lagging problem. Lets proceed with JavaScript vs TypeScript.

What is JavaScript?

JavaScript is a scripting language. For the creation of interactive web pages uses JavaScript. It is a light weight language. Purpose of designing the JavaScript is large application’s development and also trans compile to JavaScript. JavaScript is both client-side and server- side scripting language.   

Features of JavaScript-

• It is a cross – platform language.
• For client side and server side, JavaScript can be used.
• It is flexible and also powerful language.
• Framework Unsupported.
• Developer will have a ‘the great freedom’ to do whatever he wants with any object.
• It has a strong Testing workflow.
• JavaScript Added Dependencies.

What is TypeScript?

Microsoft developed and maintains a TypeScript. It is open-source programming language. It is strongly typed object oriented programming language. TypeScript code can be run on any browser, devices or also in any operating system. TypeScript code could not be understand by browsers. Therefore this code need to convert in JavaScript. Now browser can understand this code. This process is called Trans-piled. 

Feature of TypeScript-

• TypeScript offers great productivity for developers also.
• It supports ES6.
• TypeScript supports interfaces, sub – interfaces, classes and subclasses.
• It has rich IDE with autocomplete and also has code navigation features.
• Code navigation and bug prevention is possible with TypeScript.
• Scalable HTML5 client – side development.
• It has class-based object – oriented with the inheritance of private members and interfaces.

JavaScript vs TypeScript-

1. One of the main advantages of JavaScript over TypeScript is that JavaScript doesn’t require costly development tools. Developer can start with a text editor such as notepad. As JavaScript is interpreted language within web browser, so no need to buy a compiler. While, TypeScript includes programming language support expensive IDE’s.
2. JavaScript doesn’t have important features, for eg., client-side javascript doesn’t allow the read-write of files. Strongly typed object oriented compile language is TypeScript. It has set of tools available.
3. You can not use JavaScript for network application because it lacks the support and it doesn’t support multi-threading or multiprocessing.
4. TypeScript allows developers to exploit the static typing process effectively. It helps developers to find which objects are working and which are not working. Tools allow developers to locate errors and fix them properly before running the application.
5. Large applications can not develop with JavaScript. TypeScript came with a big app options to run millions of code lines.
6. Refactoring in TypeScript is safer whereas it is not possible in JavaScript.
7. Changing the browser and reloading is also faster in TypeScript as compared to JavaScript due to the use of tools.

Conclusion-

If you’re unfamiliar with TypeScript / ES6 / ES7 and just have a small web page to build, you can choose plain old JavaScript. If you’re working in a team and want to build something that has to scale and has to be maintained for a long time, you should choose TypeScript over the JavaScript.

Confused to choose the development language between TypeScript and JavaScript for you business website? Just relax, Solace expert’s are here to help you with web development. Start to build your website with Solace and it will provide the means to bring your business the success it deserves.
Feel free to quote us for any web solutions for effective business growth.

A Battle of Trios: Python vs Ruby vs Golang

https://solaceinfotech.com/blog/comparison-python-vs-ruby-vs-golang/

Each programming language has its own different features, benefits, history, efficiency and popularity which are different from other programming languages. Therefore, choosing the perfect programming language for developing a software solution is a crucial part. For this, let’s compare three prime languages – Python vs Ruby vs Golang. 

Python-

Python is an interpreted, high level, general purpose programming language. Its constructs and object oriented approach helps programmers to write clear and logical code for small to large projects. Python is a server-side scripting language which focus on simpler, crispier and high-performance codes.

Ruby-

It is an interpreted, high-level, scripted programming language. It supports multiple programming paradigms such as procedural, object-oriented and functional programming. Ruby has followed the motto of ‘don’t repeat yourself’, so it saves time and effort. It is a great language for rapid development and many popular social networking sites like Twitter. Ruby doesn’t need specification each time because the code has implicit behavior. 

Golang-

Golang is a statically typed, compiled programming language that feels like a dynamically typed, interpreted language. It is designed at Google and is syntactically similar to C. Similarly, just like Python, there is a single way to do the right thing here. Golang is fast and also it allows programmers to control over memory usage at a certain limit. Many startups use Golang for its concurrency.

Comparison- Python vs Ruby vs Golang.

1. Ways to do the right thing-

• Python has always focused on ‘the best way to do it’ motto. So it offers simplicity over flexibility.
• Ruby focused on ‘multiple ways of doing a single thing’. You can do things in multiple ways because of flexibility and freedom it offers.
• Likewise Python, Golang has a single way to do the right thing.

2. Repetitive vs choice-

• Python has automatic list expansion feature which is a plus point over the others. So it requires less code and less effort.
• Ruby is more expressive than others.
• Golang takes more line of code to do the same thing as compared to Python.

3. Speed-

• Python and Ruby are slower than Golang. Golang has great built-in functionality.
• Ruby and Python are slower as compared to Golang because Golang doesn’t need to be interpreted.
• Golang has a standard library that contains a fully web server.

4. From beginner’s concern-

• Python is considered as a great language to learn, if you already know any programming language.
• Ruby and Python are great languages to run, only the previous takes up more memory for faster performance.
• Golang code is to compile, just type go run mycode.go to compile. This makes it fast. For beginners, Golang is not efficient language.

5. Performance-

• Python is used for development of desktop applications.
• Ruby is ideal for creating tiny commercial projects, blogs, and personal pages. For complex solutions, Ruby is not very appropriate because its speed is slow and this will affect the satisfaction of demanding customers.
• Golang is ideal for solving both simple and complex, multi-threaded tasks, which isn’t strange at all. Golang projects run faster than similar projects written in Ruby.

6. Community-

• There are tens of thousands of Python developers. Companies such as YouTube, Instagram, Spotify, Reddit and BitTorrent used Python.
• A single person developed Ruby language. Ruby has become less popular in the last couple of years. Besides that, many great companies such as Twitter, Shopify, Crunchbase has chosen Ruby.
• Golang is designed by Google with its cloud infrastructures, supportive community, forums, tutorials and additional libraries that helps language to grow fast. One of the fastest-growing, loved and requested programming languages of recent years is Golang. Various companies like Docker, BBC, SoundCloud, Facebook, Dropbox, and even Medium adopted Go.

7. Compatibility-

• Ruby has limited compatibility with most popular databases.
• Golang is compatible with almost all databases as a server-side language.
• Go is compatible with other languages, especially with the C- family languages.
• Many programmers use Golang  in a bundle with different stacks like Python and Go or PHP and Go to improve general app performance.

8. Development Experience-

• Programming in Python is more productive than other languages.
• Ruby language is beneficial for use if you need rapid delivery of results and if the quality of performance is not that much important.
• Golang is ideal for backend systems of any size and highly-scalable network servers. It provides you with fast and high-quality performance and good compatibility with other technologies.

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