Posts in "Developer"

What Are the Best React Table Libraries?

Tables are an important element when using React. The automation of tables has significantly improved development because of the surplus of libraries available. React and other development tools are easier to build apps with as a result.

But what are the best React table libraries to make development even easier?

  1. Rsuite-table

With this table, sorting data is simplified and much easier. Rsuite-table consists of components like buttons, models, and loaders. The columns in this library can be customized in their width and have tools to help create a tree form. Its weakness is that styling and customization can get complex due to its styling rules.

  1. React-table

There is an extensible data grid, a simplistic customization system, and allows for multi and stable sorting. React-table’s weakness is limited documentation.

  1. Material-table

Material-table is based on Material UI, as well as possessing a supportive community of developers. It has numerous features like filtering, component overriding, grouping, and more. However, there are often issues with docs.

  1. Material-UI-datatables

This table is extremely responsive and contains many helpful functions but doesn’t allow localization of external libraries.

  1. React-data-grid

Able to present data in a tabular structure, React-data-grid also has an integrated format and several Excel functions as well. Exporting in PDF, Excel, and CSV formats is one of it’s most popular features. On the other hand, it’s hard to use and bugs are a common issue.

  1. RC-table

Praised for its lightweight functionality, RC-table is good at filtering data and providing examples for developers to use with the source code. Like React-table, RC-table has limited documentation.

  1. React-virtualized

React-virtualized has an extensive, supportive community of developers backing it. This open-sourced library boosts app performance and helps visualize 2-D data collections. It does struggle with constraints regarding UI at times.

  1. React-datasheet

Creating spreadsheets is this library’s specialty, complete with features like copy, paste, and cut. Keyboard keys can be used to edit the sheets too. The learning curve for React-datasheet is small due to its simplistic design.

  1. React-bootstrap-table

This library utilizing Bootstrap alongside resizing in single, multi-select, dynamic, and column sorting functions. Additionally, external functions can be added. Data manipulation is easy with React-bootstrap-table, but documentation can cause some issues.

  1. React-super-responsive-table

This is essentially a converter for table data to become user-friendly for mobile apps. To use React-super-responsive-table, download NPM and add it to React through tools like Webpack and Browserify.

Conclusion

Each of these React table libraries has its own unique features and functions. Development projects should be matched with a library that suits their purpose or goal. Since React is a popular development tool, there is no shortage of other libraries not mentioned here. The most used ones have bigger communities of developers and support, which could be an important characteristic to help developers decide. Table libraries in particular are only one type of library available. It’s also useful to note there may be other libraries that, while they don’t specialize in data tables, contain functions and features that work well with large amounts of data.

Battle of the Languages: Julia or Python?

Sitting at the top of the programming language community, Python has become one of the best development tools. It’s been compared to other popular languages like JavaScript and, most recently, a newer language—Julia.

What is Python?

This object-oriented, interpreted programming language was released in 1991 by Guido van Rossum. It was created to be better than the language, ABC. Python contains dynamic features and functions, referred to as a dynamically-typed language. Additionally, it has support for GUI programming, a large library, and a small learning curve.

Small startup businesses and corporations alike use Python in their systems. Some major corporations utilizing it include:

  • Google
  • Reddit
  • Facebook
  • Netflix
  • Spotify
  • Wikipedia

Python doubles as a scripting language in software, alongside its use in video games, AI, and machine learning products. The popularity Python has gained makes it akin to a modern parallel to Java’s legacy.

What is Julia?

Released 9 years ago in 2012, Julia is known for its high-quality performance. It also excels in completing scientific computing and numerical tasks. Julia can handle large amounts of data and, like Python, is a dynamically typed programming language. Similarly, it’s free, open-sourced, and easy to learn. It supports a compiled structure, which decreases development speed while increasing performance. On top of that, it works well with parallel and distributed computing.

The fast performance speed has been Julia’s most popular characteristic. It’s attracted mathematicians, data scientists, and companies like BlackRock, the Federal Reserve Bank of New York, and CISCO. Those businesses incorporate Julia in varying ways, adding to the praise of its flexibility.

Julia vs. Python

  1. Performance Speed

Surprisingly, as fast as both languages are, Julia is faster. Python falls behind because it has to implement code, optimization methods, and external libraries where Julia doesn’t.

  1. Libraries

This is where Python’s experience and history benefit it. Newer programming languages like Julia tend to have smaller communities or libraries available. Also, those libraries aren’t always run well, which may hinder the development process in some cases.

  1. Easy to Use

Both languages were designed to be simpler than languages such as Java. They have smaller learning curves, but their specialties determine how easy they each are to learn. For example, Julia is easier for people with math backgrounds or interests. Python is more general and may not be a good fit for every project.

  1. Community of Developers

Similar to the library comparison, the communities of developers behind Julia and Python help with fixing errors and solving problems. Python has 3 decades of developer support that stands behind it. Not only that, but it’s widely used—nearly overwhelming JavaScript. Julia, however, is still relatively new with a much smaller community. Its community of developers is likely to increase but, in comparison to Python, it loses this round.

Conclusion

The reliability of Python puts it ahead of Julia in most areas. Alternatively, Julia’s speed and quality performance capabilities can outshine Python. For developers in search of a solid, reputable programming language, Python is the way to go. But, if speed and high performance are the focus, Julia is a winner.

AI Development: What are the Best Programming Languages?

Within the tech industry, Artificial Intelligence (AI) development has skyrocketed over the past decade. The creation of products like Apple’s Siri and Amazon’s Alexa in particular have contributed to the evolution of AI technology.

In terms of creating AI products, they must start from the ground up like every other piece of technology. One of the foundations those products are built from are programming languages.

Let’s look at some of the most popular programming languages for AI development:

  1. Python

At the top of the tech industry’s most used programming languages list is Python. It’s extremely versatile like Java and nearly as widely used. The implementation of a simplified syntax compared to Java is one of its top benefits. This also plays into decreasing development time—a preference in the fast evolution of technology. It has easy integration capabilities, numerous libraries, and is object-oriented as well.

  1. Prolog

Programming in Logic, or Prolog for short, requires rules, facts, and an imagined result of the product. It uses those to establish a connection between the three while incorporating AI technology to create a solution. Prolog also has a high proficiency in data structuring and backtracking.

  1. Lisp

One of the oldest programming languages around, Lisp has helped provide the foundation for basic AI capabilities. It still holds a high reputation like Java and is extremely useful when finding logical solutions. Additionally, it does pride itself on how precise its language is.

  1. C++

A high processing speed is one of C++’s best features. While its syntax is more complex and difficult to learn, it’s also very cost-efficient with a large community of open-sourced libraries.

  1. Java

Java is the most used programming language in the world. It has its own machine called the JVM, or Java Virtual Machine, that helps decrease compiling time. This is because code through the JVM can be implemented across platforms thanks to Java’s system. On the other hand, the processing speed for AI development is typically a little slower than other languages on this list.

  1. Julia

Julia works best with numerical values through its dynamically-typed system. It contains a package manager, multi-dispatch support, and compatibility with C features and functions as well. This language isn’t used as much as many of the others, which means there’s a smaller community of developers behind it, but it’s still a good language for AI development.

  1. R

With an advantage in statistical processing, R is very proficient in AI development. It has extra packages such as Gmodels, Tm, OneR that are great for machine learning projects. R can help AI developers solve complex problems, which makes it a highly preferred language for AI-focused companies.

  1. JavaScript

Considered more versatile than Java, JavaScript is very adaptable to various development projects. This programming language shares Java’s stability, though it isn’t quite as popular. It’s easy to use, very efficient for complex systems and can handle continuous updates to the application in addition to having a large community of supportive developers.

Mobile App Development with Flutter or Xamarin?

When developing mobile apps, there are multitudes of development tools to utilize. App development for different platforms—also known as cross-platform development—opens up the possibilities of success for it. It presents a wider audience who can become potential users.

For cross-platform mobile app development, two frameworks worth considering are Flutter and Xamarin.

What is Flutter?

Flutter is a Software Development Kit or SDK, that’s open-sourced and available to the public for free. Its goal is to create apps that look like they are native apps. Flutter was released in 2015 by Google on the Android platform under the name ‘Sky’. However, it received a new name and was officially released as Flutter in 2018.

Some of its best features include:

  • Wide platform support
  • Large collection of tools to use
  • Contains a library and widgets for development

Major companies such as Google, eBay, BMW, Realtor.com, The New York Times, and Groupon use Flutter in their systems.

Flutter’s Strengths & Weaknesses

A strength of Flutter is its high-performance speed. Additionally, it has a hot load feature, which means updates can be made and seen within seconds of being changed. Having a high compatibility rate due to its use of widgets is popular among developers as well.

On the other hand, Flutter can’t construct completely native apps because of its reliance on widgets. The few years since its release is a weakness. Most development tools are updated and fixed over time, which means Flutter is somewhat limited in how issues are fixed. Google is constantly updating its programs, including Flutter, and that makes it a little harder to maintain an app’s code.

What is Xamarin?

Xamarin, like Flutter, is open-sourced, free, and cross-platform compatible. However, it was released four years prior to Flutter, in 2011. Then, in 2016, Microsoft purchased Xamarin.

Some features of Xamarin are:

  • Ability to access the features of native platforms
  • Implements XAML to design dynamic mobile apps utilizing the C# language
  • Libraries are available to help work with architectural patterns

Pinterest, UPS, the American Cancer Society, Fox Sports, Alaska Airlines, and other big companies use Xamarin.

Xamarin’s Strengths & Weaknesses

Under Microsoft, Xamarin and its developers have access to an extensive support system. Codesharing, high-performance speeds, and smooth user experiences are other strengths Xamarin has. Its weaknesses include an expensive price for commercial use, a small community of developers, overhead, and occasional lagging.

The Comparison

  1. Cost

Flutter is more affordable while commercial licenses under Xamarin can be expensive.

  1. Learning Curve

Both have libraries that contain guidelines, but Flutter is easier to learn because of its use of widgets.

  1. Ease of Use

Xamarin has a wider selection of development tools to choose from compared to Flutter.

  1. User Experience

Being around longer, apps built using Xamarin tend to have better UIs.

Conclusion

Flutter and Xamarin share about as many similarities as they do differences. What prevents one from receiving higher marks than the other is how each is used to create mobile apps. Each development project is different and should be built with tools that can support what it could be in the future.

Healthcare App Development Guide

The use of healthcare apps in daily life has recently increased significantly following the COVID-19 pandemic. Before that, tracking things such as calorie intake, fat burned, mental health, and more became integrated in routines by society. Uncertainty as a result of the pandemic led to a large focus on the development and usage of healthcare apps.

Types of Healthcare Apps

  • Telehealth
  • Monitoring
  • Medical Tracking
  • Lifestyle
  • Mental Health
  • Fitness
  • Dieting
  • Wellness
  • Women’s Health
  • Networking (Professional)
  • Medical Reference
  • IoT Medical
  • HER

How to Create a Healthcare App

  1. Choose a Topic/Theme/Problem to Focus the App Around
  2. Research the Target Audience
  3. Identify Which Type of App to Create
  4. Decide on Features
  5. Pick Platforms to Run the App On
  6. Learn About Common Issues (i.e. privacy, security, etc)
  7. Be Aware of User Experiences During Development
  8. Bring In a Development Team
  9. Test the App Before Releasing It

Popular Features of Successful Healthcare Apps

The primary features to perfect in any healthcare are data security and privacy. With healthcare apps in particular, there can be serious legal repercussions for apps that don’t protect the data of their users. This is essentially the same for any app, however, healthcare apps often contain sensitive information.

Another feature that separates successful healthcare apps from mediocre ones is the UI/UX design. This is how an app is received by users via its appearance and functionality. An understanding of the different app types is also extremely useful. The app types are native, web, and hybrid with each having its own unique purpose. This can affect how the app performs since its foundation should be established with growth in mind. Similarly, interoperability—the exchange and access of information between people in real-time—is important as well. It helps users, healthcare providers, hospitals and patients, and so on communicate or store vital information.

Platform or device security is a crucial element of successful healthcare apps. For example, iOS/Apple products have better security compared to Android. Android has had issues with cybersecurity breaches in the past. All healthcare apps should display up-to-date security measures to prevent data breaches, regardless of the platform or device the app is being used on.

Identifying and keeping a primary functionality in mind is a great focus that the best healthcare apps employ. Every app should have a function or purpose that is at the forefront of the app. They can have secondary functions as well, but both should be clear to the user. After all, they install and use an app for what the app is intended. If that purpose is unclear, users may delete it.

Final Thoughts

Healthcare apps have limitless potential. The success of apps like CareZone, Lose It!, Headspace, Medscape, and more can be used regularly. By finding ways for users to incorporate the app into their daily lives, the estimated success rate will increase significantly. These kinds of apps should benefit a person’s life in some way while providing a pleasant, helpful experience.

Best Front-end Framework: Angular, React, or Vue?

In development, the front-end and back-end tools are equally important. The front-end aspect is defined as the visual things users can see such as appearance. Studies conducted each year have shown a varying shift in what front-end tools are better. When referring to frameworks, there are 3 main ones at the top of every list—Angular, React, and Vue.

React

Created by Facebook, React was released in 2013. It quickly drew attention, largely in part due to the popularity of its parent company. React and Angular were often compared until React surpassed Angular in 2019 by having the highest number of downloads. Using a Document Object Model (DOM), which uses the JSX extension, HTML code is easily written. Coding in React itself is very simple if a developer knows JavaScript. Other benefits include:

  • Contains a large number of helpful tools for developers
  • Has a great community of developers to help it evolve
  • Small learning curve
  • Better performance levels

However, there are some disadvantages of React such as:

  • Harder to learn programming style
  • Doesn’t use HTML since it has JSX
  • Needs third-party libraries for creating UIs

Angular

Angular is open-sourced and was made by Google. Though it’s over 2 decades old, it’s still one of the best front-end frameworks for development. React and Vue have made Angular struggle to remain at the top but, with a significant update in 2016, it remains in the top 3 front-end frameworks. Some benefits are:

  • Allows developers to work on components separately
  • Has a big community and is backed by a large portion of developers
  • Component-based structure
  • High quality of programming

The major issues of Angular are its high learning curve and complicated syntax.

Vue

Similar to Angular, Vue was created by a developer from Google—Evan You. It was released in 2014, a year after React. You wanted to make a framework that would be more lightweight than Angular with a better performance speed. Advantages of Vue include:

  • Very lightweight (running at about 20KB)
  • Easily integrated with other programming languages
  • Small learning curve and quick performance

Some disadvantages are:

  • Lower number of developers that support the language
  • Struggles to work alongside other much bigger projects
  • Has a limited amount of features available

Overall Comparison

In terms of download numbers, React wins while Vue is next and Angular trails behind. Angular is considered old in the development industry. It has slowly become less effective or used compared to the other two. As an older language, the learning curve for Angular is steeper than React and Vue—the others being built to make learning the framework easy.

The size of the frameworks put Vue far ahead, but Angular once again falls to third, and React comes in second. Programming languages for the three see Angular as an outlier with its incorporation of TypeScript while Vue and React use JavaScript. JavaScript is more preferred for developers of any skill level because of its efficiency and other advantages.

A developer’s skills, time, dedication to the development project, available resources, and more all should contribute to choosing which kind of front-end framework is the best choice. In a general sense, it would be impossible to recommend one over the other two due to that.

Why is Flutter the Perfect Fit for Startup App Development?

The foundation of every startup app is crucial. Developers must always choose tools that will benefit the current and future versions of the app. One of the most important decisions for a developer should be in what frameworks they use. A unique and popular tool that is available is Flutter.

But what would make Flutter the ideal choice for startup app development?

While Flutter is still considered a framework, it’s much more than that. It’s an SDK, or Software Development Kit. SDKs contain every tool a developer needs to make an app. Heavily supported by Google, Flutter is cross-platform compatible and utilizes the programming language, Dart. Widgets are a significant part of Flutter’s structure. It relies on them to serve as the bridge between the actual framework and the other development tools.

Benefits of Flutter

For companies that are startups, attempting to build a native app—or constructing it from scratch—SDKs are much more cost-effective. Native apps require more time, resources, and are more expensive.

One of Flutter’s most popular features is its hot reload. It allows developers to see changes they make in the framework in seconds. The flexibility of Flutter also makes it easily interfaceable with various platforms due to a solid GPU rendering UI.

Advantages of Cross-Platform Apps

Compared to Native apps, cross-platform apps have many advantages such as:

  1. Decreased coding
  2. Fast development speeds
  3. More cost-efficient
  4. Implementation of reusable code

Why Developers Should Choose Flutter for Their Startup Apps

The pros of using Flutter don’t stop with its general benefits as a cross-platform framework. Developers should choose Flutter because it:

  • Builds on the strength of Dart.
  • Makes development much easier.
  • Adds on to itself with advanced features
  • Has a rendering engine of its own
  • Combines design within the development process
  • Decreases the app’s development time

Apps That Can Be Made with Flutter

  1. Web apps
  2. Desktop apps
  3. Internet of Things (IoT) apps

Summary

With major corporations using Flutter in their app development as much as smaller companies are, it shows how versatile this framework is. Google, which is the corporation that created Flutter, uses it in their system as well. Other smaller benefits Flutter can provide are things such as establishing a faster market speed where businesses release apps quickly and it needs less testing.

Building native apps using software other than Flutter can get very expensive. The resources at its disposal are not only vast due to its personal popularity, but being backed by Google increases Flutter’s reputation as well. In general, SDKs are useful for app development and even more so with developers with little experience. That is why Flutter is simpler to learn. Its cost-effectiveness, incorporation of widgets, and use of reusable coding are more reasons developers should choose it for their startup app development.

Ultimately, as many benefits as Flutter has, it won’t be the right fit for every startup development project. There are multitudes of development tools that each have their own strengths and weaknesses. Nonetheless, Flutter is an excellent framework to at least consider as a part of the app development process.

The Big Comparison: Golang or Rust?

The number of similarities and differences between popular programming languages can be close or vast depending on the two being compared. Nonetheless, developers love to see how they stack up against their competition. When a programming language is popular, however, there are usually valid reasons for that. Most of them include the benefits of using the language, the flexibility of it, or sometimes simply just that it’s better than another language.

Let’s look at two popular programming languages and do a big comparison of them.

Golang

Commonly called Go, this programming language is open-sourced, easy to learn, compiled, and has a great performance speed. Go is also very adaptable and has a concurrent system. Additionally, it’s used across various platforms, as well as containing analytical tools.

Go does have some disadvantages such as its struggle with memory management, appearing too easy or almost not worth learning to some developers, and limited supportive resources since it’s still considered a relatively young language.

Rust

Like Go, Rust is concurrent, which is a significant benefit. It is, on the other hand, much better at handling memory than its competitor. A good run time, easy integration capabilities, and a unique ownership feature are other advantages to using Rust.

Its disadvantages, however, contain issues with syntax, a growing difficulty in learning how to use it and its data compiling ability, and its foundation in the scope-based management of memory leads to a leak of recursion with that memory.

Commonalities Between the Two

As mentioned with Go, it’s a concurrent language just like Rust. Both of them are also cross-platform compatible, young, and popular with younger programmers.

And the Differences…

  • Performance

Rust is a little more efficient than Go in this category due to the latter having a slightly slower development speed.

  • Concurrency

While both handle concurrency well, Go has been compatible since its release. Rust received its compatibility later on and doesn’t have as much developer expertise. However, concurrency does help stabilize Rust’s memory functionality.

  • Memory Management

Go has an automated memory management system, which means developers can’t do much manually if they needed to. That can be beneficial because it indicated developers don’t have to worry about it. Rust does have slight issues with memory management due to its scope-based system, but its compiling system helps make up for that.

Summary

Overall, Rust has a steeper learning curve than Go and does focus more on data security. Go is also more scalable and more popular than Rust. Still, both were introduced around the same time. They are picking up speed in terms of development, updates, and popularity. Rust trails behind a little yet the two are considered rivals in the tech industry. With the shift in attention to a speedy yet efficient society, Go tends to be favored as well as slightly more cost-effective than Rust.

At the core of every development project, there are the back-end tools and software that apps are built on. This includes programming languages like Go and Rust. That makes choosing the right one incredibly important.

IDEs for Windows Apps: The Top 10 to Use for Developers

Also known as Integrated Development Environments, IDEs are exceptional tools that make developers’ lives easier. From coding to updating and more, these allow developers to create websites and apps from start to finish. They provide everything needed but, with so many out there, how can a developer know which ones are the best?

Let’s look at the top 10 IDEs for app development:

  1. RAD Studio

It utilizes the programming languages C++ and Delphi. RAD can also be run on the Windows, macOS, iOS, Android, and Linux operating systems. Disadvantages it has to include extended or glitchy load times.

  1. NetBeans

It’s open-sourced and popular with Java developers. NetBeans supports programming languages like C/C++, PHP, and HTML5. The operating systems it runs on are macOS, Linux, Windows, and Solaris.

  1. Microsoft Visual Studio

Primarily based in Microsoft software and uses Microsoft’s tools, this IDE supports over 30 programming languages. It can of course use a Windows operating system but also includes iOS, Cloud, and standard web systems.

  1. IntelliJ Idea

While it has a rocky UI system and steep learning curve, IntelliJ is very popular. It’s compatible with several popular programming languages like HTML, Ruby on Rails, Python, Node.js, and more. Additionally, it supports the Windows, macOS, and Linux operating systems.

  1. Code::Blocks

Free and open-sourced, Code::Blocks is limited in the programming languages and operating systems it supports. C, C++, and Fortran are compatible programming languages while Code::Blocks supports the Windows, Linux, and macOS operating systems.

  1. PyCharm

Centered primarily around the Python programming language, PyCharm also supports JavaScript, CSS, TypeScript, Angular, and more. MacOS, Linux, and Windows are compatible operating systems.

  1. Aptana Studio 3

Known for its adaptability and solid development structure, Aptana struggles with its speed and stability. Nonetheless, it supports a wide range of programming languages like Ruby, HTML5, Python, and so on. Aptana can also be used on the Windows, Linux, and macOS operating systems.

  1. Komodo

After a free trial, Komodo becomes pricey—and some trial users complain they can’t use all the features. However, in its full capacity, Komodo supports the most popular programming languages and standard 3 operating systems (macOS, Linux, and Windows).

  1. Eclipse

Complete with an optional SDK (Software Development Kit), Eclipse’s range of acceptable programming languages is similar to Microsoft Visual Studio in that it supports an exceptional range. In terms of operating systems, it allows for Windows, macOS, and Linux compatibility.

  1. Visual Studio Code

Created by Microsoft, Visual Studio Code contains many useful features. It supports the top programming languages (i.e. HTML, Java, CSS, JavaScript, TypeScript). However, it only utilizes the 3 main operating systems—Windows, macOS, and Linux.

Conclusion

The use of the right operating system (OS) is important when it comes to choosing a good IDE. Looking at programming languages and long-term goals for app development are also important. Having a good foundation can only be as solid as the developer’s intention for the app. Once an app is created, it may be a struggle later on if a developer tries to change the app’s foundational elements.

How are Programming, Coding, and Software Development Different from Each Other?

Every industry has its own unique terminology. The same goes for the tech industry. Here, there are many terms that are very similar and often used interchangeably, even though they mean different things. Such is the case with the terms: programming, coding, and development (specifically software development).

What is programming?

To put it simply, programming uses a person’s thought processes to solve technical or technologically-related problems. Programmers then apply those solutions. The area of programming doesn’t necessarily deal with coding. It focuses more on critical thinking and problem-solving more than anything else. Programming is also done using the English language.

What is coding?

Coding involves the use of programming languages, which are English-based tools that help coders tell systems to do commands. It also looks at the syntax of the language, the structure, and the organization of the code and runs tests according to the coder’s instructions. A person can be a programmer without being a coder, but the reverse isn’t true. Essentially, coding is the implementation of programming. Coders must stay current with technology, be able to debug and test for errors and execute code in a variety of ways.

What is development?

Development, particularly referring to software development, is the inclusion of all the aspects of creating software. This includes websites, mobile apps, and so on. Software development includes programming and coding as well as specific elements such as frameworks, design, maintenance, finalization, testing, and more. Development is a process just like programming and coding, but it’s a big process. A combination of development and operations teams, also known as DevOps, and general team management is also important with regard to development.

Additionally, developers can be programmers and coders, though development itself refers to the process of creation. Developers are generally at the beginning and end of the software development stage. However, they may be in or out of a few or many steps in the process when referring to what type of developer they are. There are many different types like front-end or back-end developers, full-stack developers, web developers, and so on.

Between the Three

When approaching programming, coding, and software development, learn to develop a programmer’s mentality first. Becoming a coder could come second—and both are recommended. Although, some people adopt a programming mindset by practicing coding. Ultimately, knowing the difference between programming, coding, and software development is crucial.

Summary

Programming could be considered the stepping stone to coding and software development. Coding would be the basic implementation of development. Development houses both and many more elements. In the tech industry, wearing different hats is common. Learning various skills is vital for success, but only as long as those skills are up-to-date with the continuously evolving technology. It isn’t helpful to pick up skills that won’t be used; however, most of the time, the current technology is based on the implementation of older versions. This is why programmers, coders, and developers must—more than anything—adapt a nonstop learning perspective.