Java Spring cloud native applications

Why Should Startups Develop Cloud Native Applications Using The JAVA-Spring Framework?

Introduction:

Ever since the concept of cloud native applications came into the picture, it has become one of the most popular topics in the IT industry. Software developers have mixed opinions on this concept. Some people think it’s just a temporary trend and will fade away with time, whereas others believe that cloud native applications are the future of application development.

Irrespective of what may come tomorrow, cloud native application development has transformed the IT industry in today’s time, and its usage is only increasing day by day. The reason for the popularity of cloud-native applications is its numerous benefits. Prospects of the concept have captured the attention of business owners across the world.

Market Trends:

According to a latest industry report, the cloud native applications market is anticipated to reach a value of 166.8 billion U.S. dollars by 2024, with an expected growth rate of 6.1 % every year. Alibaba Cloud says that with the development of technologies like 5G and IoT in the coming years, most enterprises will adapt to cloud-native for application development and eventually become ubiquitous.

At the moment, many platforms offer cloud native application development. In this article, we will discuss why startups should consider developing apps using Java Spring Framework. However, before we proceed with that, let’s understand what we mean by cloud native applications and how they work.

Key Features Of Cloud Native Applications:

Cloud-native application development is a method of building and running applications for cloud-computing architecture. The cloud-native technology enables enterprises to create and run scalable applications in public, private, and hybrid clouds.

The cloud native applications were designed to take full advantage of cloud computing and are hosted in the cloud. Features of this technology include microservices, containers, APIs, and dynamic orchestrations. Let us understand these features one by one.

Microservices:

Cloud native applications are composed of microservices. Microservices refer to the collections of small services that are operated independently of each other. Each service consists of its unique data and caters to a specific need of the application. In addition, these independent services interact with each other through APIs.

APIs:

All microservices can communicate with each other through APIs and bind all the loosely coupled services. These APIs can also be built, deployed, and managed in a cloud or multi-cloud environment.

Containers:

Containers help to develop all the cloud native applications. Container is an isolated package of software that consist of the code and all of its dependencies. They allow programs to run in different computing environments and prevent microservices from interfering with one another.

Orchestrations:

Container orchestration tools assist in managing the container lifecycle, which can be pretty complex if done manually. Above all, these tools monitor the container, schedule starting up and shutting down of a container, balance load. It also sets relevant parameter and deploys them on the server cluster nodes.

These features of cloud-native applications have enabled enterprises and developers to embrace the latest technologies for developing applications more efficiently.

Some of the benefits of utilizing cloud native applications are:

Cost Effectiveness:

Cloud computing eliminates the need for external hardware and infrastructure required for load balancing. virtual servers help test Cloud-native applications. This allows to improve the applications’ performance. With the help of containers, the number of microservices increases. This saves a lot of resources and money for enterprises.

Scalable Solution:

As microservices are isolated, it is easily scalable, and other services won’t be affected. Above all, enterprises can utilize resources as per their requirements.

Portability:

Containers allow cloud-native applications to run in different physical computing environments.

Reliability:

Containers also prevent microservices from damaging each other. For instance, if one microservice fails, it doesn’t affect the services adjacent to it.

Zero Downtime:

With container orchestration tools such as Kubernetes, it is possible to deploy software updates without any downtime.

Automation:

By adopting cloud-native technology, enterprises can use DevOps automation features to deploy and deliver software updates continuously.

Benefits Of Using The Java-Spring Framework For Developing Cloud Native Applications:

Spring is an open-source framework that was developed by Rod Johnson in 2002 for developing Java-based enterprise applications. The framework offers comprehensive programming and configuration.

Modularity is one of the most impressive features of the Java-Spring framework; it makes the platform easy to use for developers. The framework is lightweight, therefore allowing applications to perform well without any glitches. In addition, Spring also provides containers for the management of the bean lifecycle.

The Java-Spring framework provides solutions to most of the infrastructure facilities within the enterprises. Hence, most of the heavy lifting is done by the platform itself. This helps businesses save money by not maintaining their on-premise infrastructure.

The process cuts down development costs across the board, hence making the Spring framework an ideal choice for cloud-native application development. Startups are always looking for a way to reduce production costs; therefore, the Java-Spring framework is the best way to develop applications.

Additional Benefits Of the Framework:

● The platform solves all the difficulties faced by any kind of business while developing complex applications. After that, to integrate different components of complex applications, it provides Spring Core, Spring IoC, and Spring AOP.

● It simplifies the development process by providing layers of technologies like servlets, JDBC, JNDI, RMI, JMS, Java Mail, etc.

● Developers can develop applications using the POJOs (Plain Old Java Object). It eliminates the process of importing heavy Enterprise containers during development. Therefore, this makes the process of testing easier and provides an option of utilizing a robust servlet container.

● The framework is already integrated with different technologies like the ORM framework, J2EE, JDK Timers, and other frameworks of Java. Hence, it does not have any restrictions on what frameworks to use. Therefore, startups don’t have to waste time and money on training their developers about these frameworks.

● Spring allows the use of XML configuration as well as Java-based annotations, which offers the fluidity to choose with any one of them.

● The lightweight containers of the Spring framework can be activated without any web server or applications server.

● It also offers the development of remote-enabled services via its arrays of APIs. Spring supports Remoting methods like Remote Method Invocation (RMI), Hessian, Burlap, HTTP invoker, JAX-WS, and JAX-RPC, allowing developers to focus on what is more important.

● The transaction management interface provided by the Spring framework is flexible and works in all the environments offered by JAVA. It enables developers to use local transactions in small applications and scale up to JTA for global transactions. This helps make it a relevant solution even when the business has grown.

Final Thoughts:

The benefits of the Java-Spring Framework cater to all the needs of startups for developing a world-class application. Startups  can reduce their workload by outsourcing their IT job to a service provider with a team of talented professionals.

Like other businesses, if you too are looking to develop cloud Native Applications, Mindfire Solutions can be your partner of choice. We have deep expertise in Spring framework. Moreover, we have a team of highly skilled and certified software professionals, who have developed many custom solutions for our global clients over the years.

Here is an interesting project we have done to develop a cloud platform for a retail solutions provider with JavaScript. Click here to know more: Case study on cloud based retail solution.

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Virtual Fitting Room Applications

Virtual Fitting Room Applications Are Developed Best Using JavaScript?

Introduction:

The continuous innovation and development of technology have led to the creation of Virtual Fitting Room Applications. Now customers don’t have to be physically present at a store for trying out any clothing items, beauty products, and accessories. You can do it virtually through Virtual Fitting Room mobile applications.

The virtual fitting room is a technology that has revolutionized the way retailers and E-commerce businesses are offering online shopping experiences. Virtual fitting room applications are based on technologies like Artificial Intelligence (AI) and Augmented Reality (AR). With these new innovative applications, buyers don’t have to leave their homes to check the size, fitting, and style of the products that they want to purchase.

Ever since the pandemic struck, in-store shopping has taken a hit. People are hesitant about going out to retail stores and trying out things themselves. Based on a survey conducted by a leading advisory group, more than half of women and men who visit the store don’t feel safe trying out clothes in the store dressing room.

Market Trends:

As lockdowns were happening globally, clothing products saw a decline of about 43% in sales. But virtual fitting room technology is changing these numbers, and retailers are slowly getting back in the business. After the Covid-19 pandemic, the demand for virtual fitting rooms is increasing drastically.

A report predicted that by 2025, the market for virtual fitting would reach the value of 6.5 Million U.S dollars. According to an industry report by Statista, the global market size for virtual fitting rooms is expected to reach over 12 Billion U.S dollars by 2028.

Many platforms and languages can be used while adopting this technology. In the following article, we will discuss why virtual fitting rooms applications are best developed with JavaScript.

In order to understand why JavaScript (js) is the best way to develop a virtual fitting room application, we need to know how the concept of virtual fitting rooms works.

How Does Virtual Fitting Room Technology Work?

The virtual fitting room works on Artificial Intelligence (AI) or Augmented Reality (AR). In the case of Augmented Reality, a person’s body is scanned with a webcam to create a 360 degree-3D model of the body. The virtual fitting room apps that work on AI utilize machine learning algorithms to create a 360 degree-3D model of a body.

Irrespective of the technology used to scan the body, post scanning, the 3D models are combined with Radio Frequency Identification (RFID). The RFID keeps track of the products that the buyer has added to the virtual fitting room.

Finally, the virtual fitting room technology lays the product of the user’s choice on the 360-degree 3D model of their bodies. It helps shoppers check whether the item has the proper fitting, styling and how well it suits them.

Benefits Of Virtual Fitting Rooms:

Here are benefits that virtual Fitting Room Applications can offer to retailers:

● Support online sales:

Virtual fitting room application provides an enhanced shopping experience for the customers. A research paper shows that 40 % of shoppers are willing to buy more expensive products if they experience shopping through augmented reality features. Thus, virtual fitting room applications are increasing the online sales of enterprises.

● Increase customer Retention:

The virtual fitting room applications increase the target audience’s engagement with the brands and retailers. It allows shoppers to see for themselves how the product will look on them. Therefore, customers keep on trying various items, and the retention time goes on increasing. The businesses that have used virtual fitting room applications witnessed a 5 percent boost in their retention time.

● Decrease in product Return:

One of the reasons for high returns was the wrong fitting of the product. But with virtual fitting room applications, these blunders can be avoided. After opting for this technology, a retail company reported about a 36 percent decrease in the returns rate.

Why Use JavaScript To Develop Virtual Fitting Room Applications?

JavaScript is an object-oriented programming language which helps to develop dynamic web pages and applications.

As virtual fitting room applications are based on AI and AR, JavaScript is one of the best languages you can use to develop them. From the surface, it may seem like a strange choice as most enterprises use programming languages like Python or Scala for their AI/AR-based projects.

But JavaScript has some advantages that can add more value than Python or Scala. Here are some reasons why JavaScript is the best language for developing virtual fitting rooms.

● Excellent Performance:

Millions of dollars are invested in JavaScript so that it can run fast. Modern JavaScript is more advanced and translates machine code as same as Java. This allows AI-based applications to perform better in JavaScript.  Hence virtual fitting rooms can offer a more superior user experience than Python and Scala.

● Less Development Time:

We all already know that Python has less development. The same is the case with JavaScript. But the development time for JavaScript is a little quicker. Synaptic, the neural network library of JavaScript, has various features, which gives js a bit of an edge in AI-based application development.

That doesn’t mean that Python is not good. When it comes to adopting deep learning technology, there is no competition to Python. Both languages have something unique to offer. As development times go down, the production costs also go down. Hence enterprises can save a lot by using JavaScript for developing virtual fitting rooms.

● Improved Security:

JavaScript comes with built-in security. Therefore, JavaScript prevents any attacks to the application by malicious codes.

● JS has separate library for AR Features:

JavaScript offers a library named ‘AR.js’ that can provide Augmented Reality features to any web-based application using a few lines of HTML. It is a free, open-source platform and has been used by many developers. In the GitHub repository, AR.js has more than 13,000 stars.

One of the benefits of using the AR.js framework is its cross-platform and browser compatibility. This means that the web app developed on the platform is compatible with iOS as well as Android.

The AR.js comes with different AR frameworks like A-frame, ARToolKit, and three.js, making this framework very easy for developing AR-based web applications. It offers a high performance of 60fps, even older devices, so there is no need to spend money on external hardware.

That being said, AR falls short in some instances as compared to AI. There are some rendering limitations to AR. The tracking accuracy of the Augmented Reality technology is too low, which can compromise the application’s user experience. Therefore, AI in collaboration with AR helps to avoid these glitches and make the technology more effective. The data rendering done in AI is more accurate than AR technology. It also provides better identification of body parts of the 3D model.

Final Thoughts:

From the benefits listed in the above section, you can see why JavaScript is the best choice for developing AR or AI-based web applications such as virtual fitting rooms. The language is easy to code, offers better performance, provides a framework and library for adding AR features, and is even cost-effective in many aspects

The virtual fitting rooms are not only limited to the clothing industry; they are also relevant for shoes, watches, sunglasses/ spectacles, cosmetics, and jewelry. Anything wearable and used as a styling option can be paired with virtual fitting rooms applications.

Instead of hiring developers to create a virtual fitting room, retailers and E-commerce platforms can outsource this job to a service provider with relevant industry experience and reduce the workload.

Like other businesses, if you too are looking to develop Virtual Fitting Room Applications, Mindfire Solutions can be your partner of choice. We have deep expertise in JavaScript . We have a team of highly skilled and certified software professionals, who have developed many custom solutions for our global clients over the years.

There is an interesting project we have done to develop a virtual fitting room application for an advertising and content management company with JavaScript. Click here to know more: Case study on fashion imagery solution.

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React vs Angular

React vs Angular to develop Single Page Application

Introduction:

Single page application (SPA) is a website or web application that interacts with users by rewriting the current web page dynamically with updated data from the web server, rather than loading complete new pages as is the default approach. The objective is to make the website seem more like a native app with quicker transitions. The page does not reload or transfer control to another page at any time during the process.

Huge companies around the globe are using Angular and React. Companies like Whatsapp, Instagram, Facebook, Netflix, Uber, Airbnb, Dropbox etc use React. Whereas, companies like Google, Nike, Forbes, Sony, HBO use Angular etc.

The market for front-end development frameworks and tools has grown highly competitive. Angular and React are the most popular JavaScript frameworks and libraries among developers which are new. These are well-supported technologies for developing front-end apps. Despite the differences between them, developers use these frameworks to create single page application (SPA).

React:

Facebook and a network of individual developers and communities manage React and it is one of the most popular frameworks. React is a strong, adaptable, and extremely flexible framework that allows its components to be used across various applications.The framework is used by most React development services due to its “learn once, write anywhere” approach and code reusability to create rapid and scalable programmes for all platforms. Its component-based and declarative characteristics make it simple for developers to design interactive and sophisticated user interfaces.

Angular:

Angular is one of the most flexible JavaScript frameworks for web app development, with a wide range of capabilities. It has a lot of features, is quite strong, and gives you greater control over your web application. Angular is a typescript-based programming framework. It’s a component-based framework for building highly scalable web applications. It comes with a number of well-integrated libraries and features, including client-server communication, routing, and more.

Comparision between the two technologies to develop single page application:

Angular and React are inherently different in several ways, therefore we must establish a common ground for comparison

● Document Object Model (DOM):

Angular employs real DOM, which means that if a single section of the tree data structure is changed or modified, the entire tree data structure is updated. In React app development, however Virtual DOM is used, allowing app development companies to track and update changes without affecting other sections of the tree. In the react versus angular race, React wins because Virtual DOM is more fast.

● Data Binding:

Data-binding refers to the connection between the component’s logic and the data it displays. Angular which is bidirectional supports two-way data binding by connecting the Document Object Model (DOM) values to Model data via the Controller. Whereas, React being unidirectional uses one-way data binding, which allows you to direct the flow of data in only one direction. Although two-way data-binding can be implemented with React, by default, a component’s and view’s connection is always one-way. We can add logic to a component to make the connection two-way.

● Performance:

The rivalry between the two frameworks intensifies, with none falling behind in terms of performance. But,the performance of Angular is comparatively slower due to the two-way data binding. The two-way flow of data often causes performance concerns. Server-side rendering becomes faster thanks to React’s virtual Document Object Model. React apps perform better as a result of this.

● Componentization:

Angular has a very fixed and complex structure as it is constructed on three layers: Model, View, and Controller. Developers use Angular to break the app’s code into different files. This enables the reuse of templates or components in various parts of the application. React, on the other hand, opts for a distinct architecture. It provides a straightforward method for creating component trees. The library includes functional programming, including declarative component definitions. React code is easy to read and rationally structured. JavaScript developers can more readily transition to React thanks to reusable components and clear coding.

● Directives:

Angular Directives allow us to organise our code and operate around the DOM. These directives give us access to the DOM when working with Angular. Apart from the directives that come with it, developers can also write their own.The templates are returned with attributes in Angular, and the syntax of Angular’s directives is sophisticated and complex. This makes it confusing to new developers. This distinction between templates and directives does not exist in React. The template logic, or directives, must be written directly in the template. At the end of each component, the logic and templates in React are discussed. It allows readers to comprehend the meaning of the code without having to know the syntax.

● Learning curve:

When compared to React, Angular has a steep learning curve. The Angular framework allows you to tackle a problem in a variety of ways, has a complicated component management system, and necessitates knowledge of various concepts and languages. Furthermore, the framework is constantly evolving, necessitating the need for developers to keep up with what’s new in the Angular ecosystem and to upgrade their skills accordingly. However, React allows you to quickly learn and create an app in the React ecosystem. If you are familiar with JavaScript, React becomes much more easier to learn. It has several valuable tools for newbies to grasp the framework and construct a single page application.

When to use React?

Both Angular and React are excellent choices for developing single page application. The choice between the two is mostly dependent on the project at hand.

● React is a better choice as it has a lower learning curve because existing JavaScript and HTML code may suffice, which allows for faster development. However, as time goes on, developers will need to learn more advanced technologies

● React outperforms Angular, because of its virtual DOM implementation and rendering optimizations. It’s also simple to switch between React versions; unlike Angular, where you have to install updates one by one.

● React has the advantage of allowing segregated debugging, which aids developers in achieving app stability. Furthermore, React’s component-driven architecture allows us to reuse components, reducing development time and expenses.

● Using React, developers have access to a wide range of pre-built solutions. This reduces the number of errors while also speeding up the development process. React’s library can be incorporated into any project (even if it is made with Angular).

So, when to use Angular?

● The team is familiar with Typescript.

● The app’s complexity ranges from low to medium.

● You prefer ready-to-use solutions and want to increase your productivity.

● You wish to use the CLI option Bundle Budgets, which alerts developers when the application bundle size exceeds a predetermined limit. In other words, if you want to control the size of your app, Angular is the way to go.

● You need a feature-rich, large-scale application.

Like other businesses, if you too are looking to develop Single Page Application, Mindfire Solutions can be your partner of choice. We have deep expertise in both React and Angular. We have a team of highly skilled and certified software professionals, who have developed many custom solutions for our global clients over the years.

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Sentiment Analysis

Sentiment Analysis in Healthcare

Introduction:

Sentiment Analysis refers to analyzing text data and assigning some kind of sentiment to it. For e.g., we see a movie review on the IMDB website such as – “It was a good movie”. We can understand that the viewer liked the movie and we can go on to say that this review can be assigned a positive sentiment. Similarly, If the review was “It was a bad movie”, we can consider this as negative feedback for the movie and say that it generates a negative sentiment. So how do we go about creating a model that takes in a review/ statement as input and gives out the corresponding sentiment ?

One way to go about it is to create a dictionary of all words that correspond to positive feedback, and another of all words that provide negative feedback. Run a search through the statement and see which words are present. This is a very very simple example of how Sentiment analysis can be done. More on this later, but why would we need a Sentiment Analysis model?

Most companies provide their customers a platform, which could be social media or a company website, to express their feelings about a product or service so that the company can then use this data to improve the quality of their product / services. Since people can post feedback at ease with just their mobile phones, this generates a huge amount of data. Going through all data manually is a labor-intensive process. Hence, sentiment analysis has become an important tool for companies to track and monitor their online feedback and brand value. This is just one example; there are other areas as well where one can use a tool such as sentiment analysis. Let’s look at how it can help to solve some challenges in the Healthcare Industry.

Defining our Input to the model:

Before we discuss the details of the model, we need to find a way to represent sentences for a model to understand. The first approach is bag of words. The way this approach works is we first create a vocabulary of all words we have in our training data. This vocabulary then forms our feature space, or our X’s for the training. Given the number of words in the English language, we could have 10000 words in our vocabulary. We will get to reduce our feature space later.

So now that we have our X’s, we define a way to represent a sentence. We can do so by assigning the count of each word to our feature space. Coming back to our previous example, “It was a good movie”, we will have the following counts or word frequencies- It:1 , was: 1, a: 1, good:1, movie:1. The values for all other words will be 0. Each word will have a fixed position on our feature space, so for all other words, if we substitute zero then we have 0, 0,0,…,1,0,,…1,0…0. Note we have counts only at the position of the words in our current example. This type of encoding is also called one hot encoding.

We can limit the number of words our vocabulary has by using a few tricks, for instance removing words like a, the, this, is, etc. These words do not generally add any meaning to our sentences. These are stop words. Next, to further limit our vocabulary, we can keep only those words that have a frequency above a certain threshold. Doing this, we can reduce our vocabulary to 1/10th of our initial size. Now coming to encoding our target variable. Since this is a good review, we have 1 as our target variable. Note that we are only trying to classify good or bad reviews and having a 1 for good and 0 for bad is sufficient for training our model. All of these can be achieved by a few lines of code using python’s NLTK (Natural Language ToolKit) library and python’s Scikit-learn library.

Defining our model:

Machine learning can broadly be categorized into two parts, supervised and unsupervised learning. Supervised learning is one where we give both input and targets as training data. This is generally used for classification or regression tasks. Unsupervised learning contains just input data, no output is associated with it, and this is used for clustering problems, where the algorithm tries to group the input data into clusters. Since this is a classification problem, we will be classifying the review into one of the good or bad classes, we will rely on either Logistic regression or Random Forest classifier.

We will go into the details of logistic regression or Random Forest in a different article. But for the purpose of this venture, we will pass a python list (arrays) to the model. This is the input list that we get using one hot encoding as defined above, and get a one or zero as an output. Let’s assume the model we build has around 80% chance for classifying a given review accurately. This may not necessarily be difficult to achieve for a task such as this. All of these can be achieved fairly easily using python’s Scikit Learn library.

Problems faced by the service Industry and Solution with Sentiment Analysis:

An insurance company wants to find out whether imparting behavioral training to their service staff has an impact on the overall feedback they receive as reviews.

We start by defining a metric for valuation. Let our performance indicator be the number of positive reviews/ total number of reviews. Assuming there are at least 30 reviews for each staff under consideration. We get the reviews for all staff before and after behavioral training has been imparted. Put them through our model and generate positive and negative outcomes for these reviews. Then do a comparison of percentage positive and negative reviews before and after the training. This will establish a correlation between training and change in reviews. To establish causation, we also need to create treatment and control groups. The treatment group will have the staff that receives the training and control will be the staff that doesn’t. Comparing the change between treatment and control groups will tell us whether the training has an impact.

Like other businesses, if you too are looking for solutions in Sentiment Analysis, Mindfire Solutions can be your partner of choice. We have deep expertise in AI and ML Capabilities. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years.

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Application Development

The Future of Application Development for Enterprises: React

Introduction

Mobile applications play an essential role in generating revenue for businesses with an online presence. An application has all the functionality of the company website, but it is more compatible with the mobile device’s hardware and interface. Mobile Application development has helped multiple industries to expand their global footprints.

According to a latest industry report, mobile applications were responsible for generating 365 billion U.S. dollars in revenue worldwide, and it is not hard to predict that these numbers will only increase. It is projected that by 2023, mobile applications will rake in business well worth over 935 billion U.S. dollars for companies globally.

As the future of mobile applications is looking very bright, more companies are focusing on developing applications that offer a seamless user interface and meet all their customer’s requirements. However, it is not an easy task to create a successful application.

There are many methods and approaches you can adopt to develop an app. You can choose to build a native application, or you can go for cross-platform app development. You also have the option to choose from different programming languages and frameworks.

Most companies prefer a cross-platform app development framework because it saves a lot of time and resources. One such framework that has grabbed the attention of developers is React or React Native, to be specific. A latest industry report showed that as of 2020, React Native was the 2nd most popular choice among developers for cross-platform app development.

Before we get into why React or React Native is the future of enterprise application development, let us understand a bit about it.


The Key Features Of React Native

React Native is a cross-platform application development framework created by Facebook. It was made an open-source platform in 2015 and has been used by many enterprises ever since. Popular companies like Instagram, Netflix, Flipkart, Tesla, and others have used React Native for cross-platform development.

An application that is used for Android and iOS is called a cross-platform application. React Native makes it very easy to build a cross-platform app. The developer will only have to write the code once, and the app can cater to multiple mobile operating systems.

Even though React Native is a cross-platform app development framework, one of the benefits of developing an app on React Native is that it delivers a user experience akin to a native application. Hence, you can expect a React Native app to run smoothly without any glitches.

Many computer engineers and developers claim that, with time, more and more enterprises will choose React Native for cross-platform application development. Let us dissect why that is the case.


Why Is React Native Future Of Enterprise Application Development?

Here is why React Native will be the future of mobile app development for enterprises:


● Reduces Development Time

One of the things that most companies love is reducing the time to market so that their product can be available as soon as possible. By using React Native, businesses can achieve lower time to market. It enables the developers to build the app in a much faster and efficient way.

The developer using React Native can create an application in 30% less time than the other platforms. As the development time reduces, the production cost also goes down. It is the reason why companies prefer React. It is also the reason many startups are choosing to develop their app on React Native.

Startups always aim to achieve high returns with minimum investments. Another advantage of React Native is its code reusability. 90 % of code written for Android can be used for iOS and vice versa. It again saves much time.


● Cross-Platform Ability

As discussed earlier, React Native is an excellent framework for cross-platform app development. However, at the inception of React, you could have only developed applications for iOS. Later, when Facebook realized the full potential of React, they re-developed the framework that was compatible with Android as well.

React Native allows your team developers to build an application on a single platform. This process eliminates any miscommunication among the team. There are different design specifications for different operating systems. React Native also came up with a solution to this problem by providing file extensions that can be used when needed.


● Native Nature

The name “React Native” was given to the framework because the application developed on it can operate as a native application. A native application can only work on one operating system; It can work for iOS or Android, but not both. Native applications have better integration with the device’s hardware and therefore deliver outstanding performance.

This native app-like performance is because of the native widgets of React Native, which also helps in UI development. In fact, React Native surpasses native applications in terms of performance.

Another reason for the excellent performance of React Native is JavaScript, which is the scripting language in React. It allows the framework to create complex applications.


● Real-Time Updates

Real-time updates are another feature that attracts businesses towards React. You can push new updates into the application without user intervention through the app stores. Due to this, users get to enjoy the updated version of your app seamlessly.

React Native makes the up-gradation cycle of your app short and direct.


● Unparalleled User Experience

Most business owners are looking to provide a top-notch user experience to each individual using their application. Its compatibility and native app-like nature ultimately add up to create a rich user experience that your target audience will enjoy and will not mind revisiting your application when needed.


● Large & Growing Community

React Native has a large community of experts backed by Facebook. The React Native community is very active. If the developer faces issues at something while using React, they can share their problem with the community, and the community helps overcome it. There are already more than 2 lakh questions and answer on React Native, so the answers to their questions may be available.

Overall, this makes things easy for the development team if they face any issues while using React framework.


The Way Forward for Application Development

The value that React Native adds to the enterprise application makes it a clear choice among the business owners and developers for cross-platform application development. With less effort and money, React Native offers a high Return of Investment, which most companies want.

From the above points, it will not be a stretch to say, “React Native is the future of enterprise mobile application development”.

Like other businesses, if you too are looking for SaaS Based System, Mindfire Solutions can be your partner of choice. We have deep expertise in React Capabilities. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years

Here are a few interesting projects we have done with the help of React. Click here to know more:

Case study for a social network platform for travellers.

Case study for a video consulting platform.

Rental and Property management case study.

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Ruby on Rails

Suitability Of Ruby on Rails To Develop SaaS-based System

Introduction

Ever since the onset of the pandemic, most companies are letting their employees work from home. It has become the New Normal now. Nevertheless, working from home can lead to many complications, especially for those who work as software developers, requiring specialized systems and hardware infrastructure to operate.

Pain points like outdated native applications on the laptop and lack of local storage for updates can impact daily productivity. Here, using a SaaS platform is exceptionally convenient. It eliminates the need for local resources and brings cost-efficiency through a pay-per-use model.

Thanks to their myriad business benefits, more and more organization are adopting SaaS tools. According to an industry report, in 2019, Software as a Service generated a grand revenue of 148.5 billion USD. These figures account for two-thirds of the revenue generated from the entire public cloud services market. By the end of this year, the SaaS revenue is projected to skyrocket and reach around 190 billion USD. It is slated to reach 305 Billion USD by as early as 2025.

Application and web development on SaaS platforms permit various languages and frameworks, including React.JS, Django, Ruby on Rails (RoR). The following article will discuss why Ruby on Rails has the most suitability with SaaS-based systems.

However, before we get into RoR, let us first understand a bit about SaaS-based systems.


Overview Of SaaS-Based Systems

SaaS is a cloud-based solution in which the SaaS service provider hosts all the applications and relevant data via the internet. The customers do not have to spend their time and resources developing on-premise management software; instead, they can rent these services from the SaaS service provider and pay per their requirements. SaaS-based systems run exclusively on the server of the service provider, who handles the maintenance workloads.


Benefits Of Using SaaS

• It allows the high availability of the application across multiple devices such as laptops, desktops, and mobile phones, permitting seamless remote working

• The pay-per-use model allows customers to drive cost-leadership

• With SaaS, much of the delivery workload for an application to run it seamlessly across environments reduces. The SaaS service provider gives access to enterprise applications such as cloud ERP, CRM, and many more

• The SaaS model lowers the time-to-market for the application and also its development and maintenance costs.


What Is Ruby On Rails?

Ruby is a general-purpose programming language for web development. The syntax of the language is straightforward, and its simplicity is often compared to Python, another programming language known for its lucidity. However, despite such perks, building a SaaS-based application on Ruby is a tiresome job. That is why separate tools and frameworks were developed to resolve the issue. It is where Rail comes into the picture.

Rails is a framework which helps create web applications, using Ruby as its core programming language. Ruby On Rails (RoR) is a software platform that makes web development much more manageable. It is an open-source platform created by David Heinemeier Hansson.

Ruby on Rails combines Ruby with other programming languages like JavaScript, HTML, and CSS for creating web applications that can operate on a web server. Most of the time, Ruby on Rails is classified as a server-side web application development platform.

The developers opt for Ruby on Rails because of its compact nature and easy to code programming interface. Many global businesses such as Shopify, Airbnb, SoundCloud, GitHub, Hulu have been using Ruby on Rails ever since its launch.


Why Ruby On Rails Is The Most Suitable For A SaaS-Based System?

Developing SaaS-based systems using Ruby on Rails have proven and undeniable advantages for the developer and the businesses, that can be summed as under:


Easy Up-scaling

Startups and mid-market entities into development do not have to worry about switching to a new platform or software with the expansion of their customer base. Ruby on Rails is agile enough for the web application to efficiently handle a sudden surge of users at any given instance. Further, to achieve high scalability, Ruby on Rails features modular code.


Great Performance & Efficiency

Ruby on Rails is based on industry-acclaimed philosophies like “do not repeat yourself.” and convention over configuration. It makes RoR very developer-friendly and hence has been a clear choice for SaaS-based product development.

With RoR, developers can plug new functions and features into SaaS-based applications efficiently. Some open-source libraries are also available that can shorten the development cycle, effectively curtailing the development cost.


High Security

One of the most important benefits of using Ruby on Rails for SaaS-based product development is its secured nature. RoR helps protect the system against various threats like SQL injection and XSS attacks. Further, the Ruby on Rails framework intuitively protects against all the standard security issues and takes appropriate action in case of a breach.


Versatile Nature

Ruby on Rails is a highly versatile framework with the ability to integrate other frameworks and technologies. It allows developers the opportunity to alter the SaaS-based application depending upon the customer’s needs. They can also make live updates and changes to the application.


Final Notes

These were some of the most important reasons why Ruby on Rails is suitable for Saas-based product development. However, besides the capabilities of Ruby on Rails, it does take the proven skillsets and business understanding of the development team to build a winning SaaS-based application.

Like other businesses, if you too are looking for SaaS Based System, Mindfire Solutions can be your partner of choice. We have deep expertise in Ruby on Rail Capabilities. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years.

Here are a few interesting projects we have done to develop SaaS Systems with Ruby on Rails. Click here to know more:

Case study for a buisness tech solution.

Case study for an influencer marketing solution.

Product line content management case study.

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AI in Healthcare

AI in Healthcare Insurance

AI has transformed industries and has immense potential to reshape the healthcare landscape. Medical data like patient visits, prescriptions contain valuable information which can be extracted to create a more structured data format. This has become possible with Artificial Intelligence and Machine Learning. This in turn offers insights into the trends and facilitates collaboration between different healthcare units. Applications for AI in healthcare range from early detection of symptoms to potential diagnosis at a fraction of the cost and increased accuracy.

What is Optical Character Recognition?

Artificial intelligence refers to the use of Machine Learning algorithms to mimic human behavior. Say we want to create a program that takes an input and gives an output. The program uses some decision-making mechanism to arrive at an output. This is primitively done by something called IF-ELSE statements. The limitation of these statements is that one needs to know the exact condition that will produce the desired output. For example, we know the marks of a student and we want to assign a grade, we can hardcode the same using if-else statements – IF marks > 90 then grade = ‘A’. In this case, we have a clearly defined boundary that helps us arrive at our output. But what happens when we don’t have a clearly defined boundary?

Let me explain this with an example. Suppose we have an image of a letter. And we want our program to tell us which letter it is. What kind of code shall we write? This is an example of a problem that doesn’t have a clearly defined boundary. One way to solve this problem is to build a model, which does not use if-else statements but works quite differently. The idea is to feed the program an input image (say an image of ‘A’) and tell the program that it’s an ‘A’. We do this repetitively and try to get the program to learn what ‘A’ looks like. Hence, the term “Machine Learning”. We do the same for every letter or number. This falls under the computer vision category, namely Optical Character Recognition.

Overview of Natural Language Processing :

Natural language Processing is an area of AI and Linguistics and it deals with the application of computational techniques and models to the analysis of human languages. NLP deals with processing written text including but not limited to extracting useful information such as named entities, etc. This requires an understanding of what a word means, which is not something computers generally have. This too is done by learning, where a huge amount of text is fed to the model, and it will try to learn patterns and dependencies between words. In the next section, we will define a problem statement and see how an application of these two concepts can help us make better decisions faster, way faster.

Problems faced by the Healthcare Industry :

Insurance companies have certain parameters to account for when finalizing the premiums they charge for their insurance. One of the most important parameters is the medical history of the member/ insurance holder. The idea is that if a member has more cases of medical history then that member is more likely to raise a claim in the future, thereby costing more.

So the insurance companies need to know relevant details of the medical history and assign risk scores (this could be a topic for another article) corresponding to the medical history. But medical histories are generally stored in paper form. Suppose you had a doctor’s visit, everything there is generally stored in paper format. One might have had any number of tests, and these are in most cases available in paper form. Thus, going through all the paperwork of a member’s medical history is an engaging task. This might take a person anywhere between 30mins – 1 hour. So, is there a way to automate the task?

How can AI help to resolve the issue?

The first step in the process is to get the images of all our documents. The idea is to use OCR to extract the text information from images and subsequently use NLP to extract relevant information, such as diagnosis, procedure or operation, medications that the member is on, etc. There are many open-source OCR engines, one such engine is Tesseract OCR.

Tesseract is used for text detection within large documents or used in concurrence with an external text detector. It can be used directly or through an API to extract text from images. It supports Unicode and has the ability to discern more than 100 languages and can also be trained to recognize multiple languages. The current model, Tesseract 4 focuses on line recognition. It also supports the legacy Tesseract 3 in recognizing character patterns. It is compatible with many programming languages and frameworks. CNN (Convolutional Neural network) is typically used for single character whereas RNN is used for multi-characters.

The next step is to feed the image to the tesseract engine. It will give a file output that contains text extracted from the image. There are various Open source NLP engines. We then feed lines from the text file to our NLP engine which will read each line and use dependencies between words to figure out what our diagnosis, procedure or medications will be. Most NLP engines offer phrase matching capabilities, so we can look for particular phrases as well. We can narrow our search to a specific diagnosis (or any other information of relevance) as well.

Final Steps :

Once we have extracted output from the NLP engine, we can create a database that will have fields such as member name, document type, extracted information, etc. We can use the above pipeline and feed it numerous files at once. After every output, we can append the same to our database.

This process takes a mere few seconds to go through all the files of a member. Using this, we will be able to read through the medical history of thousands of members in a matter of hours.

Like other businesses, if you too are looking to develop applications for AI in healthcare, Mindfire Solutions can be your partner of choice. We have deep expertise in AI and ML Capabilities. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years.

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Application Migration

Why Should Enterprises Consider Migrating Applications From .Net To Python?

Market Landscape

Technology is evolving, and keeping up with the latest trends in programming languages and computer coding provides a competitive advantage to institutions. Coding skills form a core part of the successful functioning of banks, automobiles, hospitals, and every aspect of our tech requirements. However, choosing the correct programming language in IT, data analytics, application migration, research, web designing, and engineering segments is vital.

Software development involves continual learning about programming tactics and new languages. The accelerated demand for ‘online’ has fueled the need for programming languages. It becomes vital to optimize software development capabilities to be at par with the latest trends to help better efficiency, customization, and customization and its smart implementation.

Technology Overview

What drives the success of programming languages can be determined by their implementation in the corporate and academic segments. Today, in academics, advanced-level programming holds a dominant share. Businesses can take advantage of the latest technology for their in-house training and initiate activities for employees both online and offline.

Gaining insights on the latest market trends, Python is a dynamic, free open source, and interpreted programming language that most software developers favorably consider. It supports object-oriented programming as well as procedural-oriented programming.

Python has bagged second place as the most common programming language in 2019. It has also secured third place in 2021, as per a report published by Statista. Also, Github and Google Trends reported Python as one of the most popular programming languages in the world in 2020.

On the other hand, .Net is a free and open-source, managed computer software framework for Windows, Linux, and macOS operating systems developed by Microsoft in the 90s. In 2020, The One Technologies reported .Net as one of the top frameworks for web development.

Let’s identify a much-developed technology that can enhance an enterprise’ capabilities.

.Net Features

.Net is a free-of-cost open-source platform and helps to develop: applications, websites, games, and IoT (Internet of Things). It is a cross-platform software framework that helps to create websites on Windows, Linux, and macOS. Similarly, Xamarin/Mono is a type of .Net implementation which is in use only for running apps.

.Net also has a built-in automated monitoring system named ASP.Net. The ASP.Net constantly monitors web pages and caters to issues such as memory leaks or infinite loops. The developers are notified immediately, which ensures stability in all .Net applications.

Python Components

Python is an object-oriented programming language recognized for its simplicity and readability of syntax. Global industries use this programming language to automate their tasks and analyze data. They also use it for other purposes like website building, machine learning, and software testing. Today, Python is among the most versatile programming languages used.

Apart from programming or data sciences, Python can also perform various tasks such as keeping track of stock prices and managing inventory.

Application migration from .Net to Python

The latest trends in the market today show that industries are vastly adopting Python for their tasks. This has become possible with application migration from existing languages to Python. Let’s learn its importance with its key components in comparison with .Net.

● .Net is a framework that supports multiple programming languages (C# (C-sharp), F# (F-sharp), and Visual Basic) for web development. On the other hand, Python is an enhanced programming language that has also developed several frameworks for web development like Django and Flask.

● To use C#, one needs to have complete knowledge of Java. In contrast, Python doesn’t have many prerequisites. Another highlighted feature of Python is that it was built on the Don’t Repeat Yourself (DRY) principle. It means writing quality code needs minimum effort.

● Syntax of Python is also much more straightforward than C#. In Python, one does not have to end every line with a semicolon. It’s very easy to read and has lots of whitespaces. If a program takes ten lines of code in C#, the same program in Python will take around 4 or 5 lines of code.

● With the help of Python, the work and duration of the project reduces to almost half.

Now let us compare Python frameworks Django and Flask with the .Net framework.

● Python has excellent compatibility with machine learning. .Net Framework offers ML.Net and libraries like Accord.NET to develop ML models. However, these models have limited applications as comapared to Python. It is one of the significant reasons why application migration to Python has become prevalent.

● All the .Net implementations have been given one standard API called .Net Standard. Along with this also a massive collection of libraries is built on .Net Standard. All of the libraries, runtime, and compiler of .Net are present on Github for free.

● The massive libraries of Python are available in source and binary form. It is also freely available for all platforms. By using Python, one of the added benefits is its large community. Unlike the .Net community, the Python community is very active and consistently adds new functionalities to its already vast collection of libraries. It means the developers can do more work on Python by doing less.

● Also, as compared to .Net Framework, Django has a much better ORM. At times, enterprises prefer Flask framework over .Net because of its lightweight and minimal nature.

Choosing the right Python framework is crucial for a successful project. Explore our insightful article: Detailed comparison of the best Python frameworks to find the best fit for your development needs. Make an informed decision and embark on a seamless and efficient development journey

If your business is seeking application migration services, consider partnering with Mindfire Solutions. Specializing in .Net to Python migration, we offer comprehensive Python software development services to facilitate seamless transitions. With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years.

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Cross Platform Application Development

Is React Native The Clear Choice For Cross-Platform Application Development?

Mobile Applications Overview

As of 2020, there are around 218 billion app downloads reported globally. Companies generated revenue of US $462 billion through mobile application development. According to an industry report, it is anticipated that by the end of 2023, mobile apps are expected to generate more than US $935 in revenue.

More and more enterprises are now focusing on developing their mobile applications.
Selecting the right app development platform or framework is essential, as the application would contribute to the business’s profit. Therefore, creating a user-friendly app that has a top-notch user interface is vital for them. However, making such an app is not an easy task.

The two most used mobile operating systems globally are Android and iOS. Therefore, everyone develops mobile apps for these two systems only.  Android and iOS, each of them has provided its platforms and tools to create applications. The only problem here is that apps developed on Android cannot function on the iOS platform and vice versa. “Isn’t there a way to build an app for both operating systems?’ – This is one question that people are grappling with.

It is here that cross-platform apps come into the picture. Before we know why React Native is the best choice for application development, let us understand the concept of cross-platform applications.

What Is Cross-Platform Application Development

The applications that work only on iOS or Android (works on one or the other) are called native apps. Native apps are built for a specific OS; they seamlessly integrate with the smartphone’s hardware and delivers the best UI experience possible.

Furthermore, to develop native applications on iOS and Android, an enterprise would have to hire two different teams. This means that React native applications require more workforce and money to create it. Cross-platform applications are those which are used on multiple operating systems or platforms at once. By creating a cross-platform application, developers don’t have to write different code for different OSs.

More importantly, cross-platform development saves enterprises a lot of time, and they don’t have to hire two different teams of developers. Therefore, creating cross-platform applications has become a popular choice among companies, and it has become a common practice to use this approach for app development.

There are many mobile application frameworks available for cross-platform development. React Native is one of them.

Overview Of React Native

React Native is a mobile application framework created by Facebook and made available in 2015. It’s an open-source platform. React Native uses JavaScript as its programming language.

React Native transforms the code to the native APIs that help it integrate with the device hardware.The stability that React Native provides is far better than other frameworks. A single code can create applications for different platforms. This code can also be edited in case there are any updates in the future. With the help of many pre-existing codes available on React Native, the developers can finish the assigned project faster.

The number of users for react Native have risen exponentially, since it’s release. Github in 2018 recorded it as the second-highest choice for any repositories. In current times React Native is the second most popular cross-platform application development framework.

Many world-renowned companies such as Instagram, Facebook, Flipkart, Tesla, Shopify, and others have used React Native to develop their applications.

Let us learn why React Native is the best choice for cross-platform app development.

React Native Enables Efficiency

Some reasons why React Native is a clear choice:

● One aspect that is most unique about React Native is its ability to provide code reusability. Project managers and engineers are the ones who appreciate this capability the most. It is also found that 90 % of the code written for iOS can be used on Android and vice versa.

● Another benefit of React Native is that web application code can be used for mobile application development if both are on React Native. It saves a lot of time for the companies. The price of production comes down when project duration reduces.

● The developers much appreciate the UI (User Interface) offered by React Native. As the reactive Native framework uses JavaScipt; it is responsive and has less buffering time. Hence React Native enhances the user experience.

● If developers face any problem while coding, the large community of React Native can help them resolve the issues. The community members often share their experiences. Therefore it is also possible that solutions to their problems are already available on the platform.

Now, let’s compare React Native with one of its major competitors, Flutter

Like React Native, cross platform appplications also use Flutter for application developement. But unlike React Native, Flutter uses Google’s Dart as its programming language. Dart is a new programming language as compared to JavaScript. There are instances when enterprises prefer Flutter over React Native.

Does that mean Flutter is a better choice? The answer to this question is not very straightforward. Both the frameworks have something different to offer, and one is better at some things than the other.

Here are some areas where React Native has the upper hand over Flutter.

● The advantage of choosing React Native is that developers find JavaScript a much easier language than Dart. This is the reason why finding a proficient software developer for React Native is less complicated.

● As React Native has been around longer, it is backed up by more than thousands of packages. This number is nearly five times higher than the Flutter.

● Whenever there will be a discussion on the user interface, React Native will always be a winner. The UI experience of React Native is more dynamic than Flutter’s.

● The installation and configuration process of React Native is simple. Where else, in the case of Flutter, things are a little bit complicated.

Final Thoughts

From the above pointers, we can conclude that React Native is one of the top choices for developing a cross-platform application. If you are confused about choosing between Flutter and React Native, select the platform depending on your requirements.

Lastly, you should know that the future of React Native is looking bright due to its simplicity and capability of solving development problems. That is the reason why most businesses prefer React Native for cross-platform development.

Like other businesses, if you too are looking for cross platform Application development, Mindfire Solutions can be your partner of choice. We have deep expertise in React Native . With a team of highly skilled and certified software professionals, that have developed many custom solutions for our global clients over the years. Click here to know more:

Here are a few interesting projects we have done to develop cross platform applications with React Native.

Case study for an e-Commerce web and mobile Application development for Android and iOS

Case study for an application on B2B Merchandising

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Effective Learning image

Thoughts on Effective Learning

Learning – Reality!

Whether it is today or in the past, learning is inevitable. If you want to grow in whatever work/business you are in, learning has to be your primary focus all the time. Whoever you are as a professional – Physician, Lawyer, CA, Architect, Engineer, IT professional….. people who excel in their field of work are the ones who constantly indulge in effective learning. They make themselves disciplined, focused, and build their learning habits over time.

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But what if one doesn’t have the urge to adapt to the changing needs and keep up the pace! Needless to say, more likely than not, they will have to deal with some harsh realities. But what is that reality in effective learning? It is this:

Development or Survival or Life for that matter will become more difficult for those:

Who stop growing and learning:

If you look around you will definitely see people who never make an effort to grow, at times they even think that they will grow automatically as time passes by. Such are the people for whom life is more difficult than it would have been if they were learning effectively and continuously. Imagine what would have happened if noble laureates had stopped learning and growing! And if famous scientists we know had done the same as well. I am sure you will agree this world would have been a very different place than what we are witnessing today. It just doesn’t matter how successful you are at the moment. If you stop effective learning, trust me, you are surely going down the road to failure.

Who don’t think effectively?

Have you ever wondered why one person succeeds more than the other, even if they had the same upbringing/schooling/academics/opportunities etc. The simple answer could be in the way a successful person thinks. It is really important how do we think – whether it is effective thinking or just some involuntary action. In learning, it is very important to think effectively. Your thoughts will determine whether you will be a successful person or just another guy. There is an age-old story, where 3 people were working at the construction site. When the supervisor came in and asked the first person about what he was doing, he said: “I am mixing material that is to be used by the other person”. The second guy responded saying “I am laying the bricks to create a wall”. The last person said, “ I am building a Mansion”. So although all 3 were doing something related to that construction, only one had a different perception. I am sure you must have read this story earlier as well. Your effective thoughts/vision holds true when it comes to succeeding or not succeeding. Learning also requires effective thinking. You should never think that only when a certain requirement or tech-stack is needed, that I will learn. That will never happen, my friend.

Remember this: it is always good to showcase what you know instead of “only saying” what you know 🙂

Who don’t face reality?

Facing and accepting reality is another crucial aspect of effective learning. People sound miserable when they keep saying that Someday I will do this or someday I will do that….and that day never arrives.

Author Alex Haley had remarked and I quote him here “Either you deal with what is reality, or you can be sure that reality is going to deal with you.”

In my opinion what a perfect quote. If you want to climb a mountain then it will never happen overnight or it will never happen without the proper training and conditioning that is needed to climb. But one has to be proactive in seeking them, and not postpone matters to a later time.

Isn’t it the same with learning? Learning MEAN or MERN or PWA or for that matter AI or Data Science or Blockchain all requires those steps and actions, otherwise it will always be a mountain that someday you will.

Who are slow to make proper adjustments?

This always reminds me of the stock market. How many times have we seen that people who don’t put stop-losses and make proper adjustments in their portfolio lose more consistently. Making proper adjustments with time always proves to be more effective. If you have accepted the reality and have begun taking the required action then the intent has to be to stay on the track and not let anything distract you. There might be situations that demand your attention. But those should only lead you to recalibrate your action plan. Your commitment to your goal should persist.

A perfect example would be – You are idle and you start learning how to climb a mountain in the form of Machine Learning (it could be anything though), but as you get more work, instead of adjusting to the same you get distracted and start telling yourself that when I get the time, I will resume… which may or may not happen. Overall a vicious loop to get into.

It doesn’t mean you focus on your learning only, client/works is always a priority, but adjusting your time to learn is equally important.

Who don’t respond correctly to challenges?

Challenges or adversities always provide an opportunity for growth. All great ideas emerge out of adverse situations or problems. People who ignore the problem don’t solve it, whereas those who face the problems by taking them head-on are the ones who more often than not come out of it successfully. How true with the context of learning. Isn’t it right that when you face a challenging /complex task you end up learning more from it than otherwise! What if you had never faced any complex or challenging situations ever? I am sure you would have been a rotten lemon, else you would have made lemonade out of the same already 🙂

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So, go out and learn more, think effectively, face reality, make the right adjustments, and face the challenges. You will see a different person sooner than later. Don’t be a victim of your own mindset.

Quote: Victim mindset causes people to focus on what they cannot do instead of what they can do, it is a recipe for continued failure.

Happy Effective Learning.

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The views and opinions expressed in this article are those of the author. To know more about our company, please click on Mindfire Solutions.  For over 20+ years now, we have been the preferred Software Development Partner of over 1000+ Small and Medium-sized enterprises across the globe.

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