In the rapidly evolving world of technology, mastering high paying programming languages is the key to unlocking lucrative career opportunities. Here are some of the high paying Programming Languages:
Programming skills are essential for many different kinds of job roles in various sectors. Whether you are developing applications or websites, you will always need one or the other programming language. Data science and machine learning are two other domains that heavily depend on languages like Python, R, or Scala.
Knowing languages, such as Python opens up doors for you both as a data scientist and an application developer. However, if you are into web development, a language like JavaScript should be your first choice. Knowing popular programming languages also helps you get offered more lucrative salary packages.
Let us learn about the top programming languages in the world as well as the various advantages and disadvantages they have. We will also check out some of their important use cases and applications.
Renowned for its simplicity and versatility, Python continues to top the charts. With a vast array of applications, including data science, AI, and web development, Python developers are highly sought after.
Python is a general-purpose interpreted programming language that prioritizes code readability and flexibility above everything else. It is a high-level language and is based on the OOP (Object-oriented Programming) approach. Python allows easy scalability and has the capacity to support both small- and large-scale projects. It is one of the most high paying programing language.
The dynamically-typed language also supports functional, procedural, and other structured programming approaches. Python is extremely extendable with its huge set of libraries. While being easy to use, it also comes ready with various features with just its standard library.
There are features, such as Unicode support, garbage collection, and reference counting but the newer Python is not backwards-compatible with older versions like Python 0.9.0 or Python 2.0. After becoming a full-stack Python developer, you can build end-to-end artificial intelligence or AI-driven applications and deploy them on a server.
Python is one of the most preferred languages for data science and applied machine learning. The syntax in Python is quite close to English and thus, it makes it incredibly easy to use even for advanced scientific tasks and AI-driven implementations.
Python is free to use and is open-sourced. A certificate program, such as Hero Vired’s Integrated Program in Data Science, Machine Learning, and Artificial Intelligence can help you learn Python for data science. The program will also enable you to learn machine learning with Python.
As the backbone of web development, JavaScript remains a staple in the tech industry. With the surge in demand for web-based applications, skilled JavaScript developers enjoy attractive pay packages.
JavaScript is a high-level programming language used for both backend and frontend development. It is both a server- and client-side programming language, making it the perfect choice for web developers and even mobile application development. Most websites use JavaScript and JavaScript-based frameworks.
Making JavaScript even more useful and preferred by developers around the world are frameworks, such as Node.js, Ember.Js, React.js, Angular, and Vue.js. These frameworks make it easier for programmers to build web and native applications with ease and in an intuitive manner. Ember, React, and Node are important components of the MERN stack, one of the most popular technology stacks for full-stack developers.
A full-stack JavaScript developer generally relies on only JavaScript but is still able to build end-to-end services, such as social media platforms or messaging applications with only JS-based frameworks. It is one of the highest paying programing language.
A full-stack web developer course like Hero Vired’s Certificate Program in Full Stack Development with Cloud for Web and Mobile can help you learn the MERN stack. Due to the internet, JavaScript is one of the most preferred programming languages for web developers. With the help of NativeScript, you can even use JavaScript along with native APIs to develop applications for iOS or Android.
JavaScript is mostly a just-in-time programming language that has dynamic typing. Like other good scripting languages, it is a multi-paradigm language that supports both imperative and functional programming styles. TypeScript is an alternative scripting language to JavaScript and has similar libraries, such as Angular instead of AngularJS.
R is a statistical programming language created for statisticians and statistical tasks. The programming language is known for its graphical computing capabilities when it comes to plotting and graphing. It is also one of the most preferred languages for data science along with Python.
Due to being statistically inclined, you can use R for statistical learning and even various advanced AI-driven implementations. R is great for data analysis, statistical modeling, data mining, and many other mathematical functions. It is the most commonly used language for statistical research and database-oriented statistical computing.
RStudio is the most common IDE or integrated development environment for R, however, the official R software environment comes open-sourced inside the GNU package. Like Python, R can also be used in Jupyter Notebook. It is one of the highest paying programing language.
C++ was developed as an extension to C, another extremely popular and powerful programming language. Modern C++ is much more advanced than older versions and now can be considered to be a multi-paradigm language (object-oriented, functional, generic, etc.). It is arguable if the language is a low- or mid-level language, however, it has enormous capabilities in working with system architecture, networks, and operating systems.
The current versions of C++ also offer low-level memory manipulation. It is a compiled language and almost every top firm, such as IBM, Microsoft, Intel, or Oracle has its dedicated C++ compilers. C++ is built to cater to the development of powerful software and architecture of servers, databases, and even games.
C is also a general-purpose language like C++ and is quite close to machine language, making it one of the preferred choices for architectural programming or working with networks and operating systems. It supports structured programming and is statically typed. C provides self-optimizing constructs, recursion, and lexical variable scope.
Java’s robustness and widespread adoption in enterprise-level projects ensure its consistent demand. Skilled Java programmers are rewarded with competitive salaries.
Java is a traditional programming language for developers that is object-oriented. Java has been in use for the last few decades for developing various mobile applications, desktop software, and even applets inside web environments. It is a class-based high-level programming language.
Java runs on any platform that supports it without the need for recompilation. Similarly, Java applications can run on any JVM or Java Virtual Machine. Java shares some syntax with C++ and C but does not have as many low-level facilities as the two low-level languages. It is a general-purpose language following the WORA principle of writing once and compiling anywhere.
Java was one of the most used programming languages of all time and based on estimates, it will continue to be in use for a long time. Java has no similarities with JavaScript and these two are completely different languages.
Scala is a popular general-purpose programming language for data science and machine learning. It is a statically-typed multi-paradigm language supporting both OOP and functional programming. Scala was developed to be compact, portable, and concise. It is one of the highest paying programing language.
Ruby is another high-level programming language that is useful for both data science and web development. It is an interpreted multi-paradigm language that focuses on simplicity and utility. Ruby considers everything including legacy data types to be objects, thus making it easy for developers to work with various data structures and origins.
Kotlin is a programming language built for interoperability with Java. It is also statically typed and can be used as a cross-platform programming language. Due to this, one can make native Android applications with the help of Kotlin.
Go is a statically-typed programming language initially developed at Google. This compiled language is quite similar to C and offers garbage collection, concurrency, memory management, and structural typing. Go programing language, or Golang, has gained momentum due to its efficiency in building scalable systems. As cloud computing and distributed systems become dominant, Go developers are handsomely compensated.
Being a high paying language this elegant and developer-friendly framework is preferred for building web applications. Its demand continues to rise, making Ruby on Rails developers a well-paid group.
But what are the factors influencing language demand and salaries?
Factors Influencing Language Demand and Salaries
Several factors contribute to the demand and salaries of programming languages.
Market trends, industry demand, and the prevalence of specific languages in emerging technologies influence their worth.
Additionally, languages with niche applications or high complexity often command higher compensation.
Read more about DevOps & Cloud Engineering and Programming Languages Every Developer Should Learn.
Source: Glassdoor
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