Programming languages form the foundation of the Information Technology and Data Science industries. Software Developers and Data Scientists use different programming languages to build innovative applications for multiple industries, including healthcare, education, IoT, banking & finance, logistics, etc.
Since software applications make almost every aspect of our lives more convenient, coding skills are among the most valuable and top-paying skills in IT, Web Design, Data Analytics, Cybersecurity, Business Intelligence, and AI & ML.
While there are tons of programming languages out there, some languages are more popular than others. These languages not only enjoy a vast fanbase but are also backed by active community support.
The recent technology’s quick progression depicts its significance for professionals in the IT sector. It facilitates them to update tier coding and web designing skills.
In this post, we’ll take a look at the top programming languages of the future. So, if you want to know which programming language you should choose for upgrading your professional value, stick with us to the end!
Top Programming Languages of the Future
When talking about the best programming languages, Python takes the top rank in all its crowning glory. Python is immensely popular among developers and Data Science experts because of its simplicity and versatility.
With an easy learning curve and English-like syntax, Python is a beginner-friendly language. Furthermore, Python has excellent library support for a wide range of coding requirements. For example, Python libraries like Django and Flask are ideal for web development, whereas TensorFlow, Keras, and SciPy are best for Data Science applications. Read more on why python is so popular with developers
You can use Python to develop web & desktop applications, GUI-based desktop applications, ML models, network servers, and so much more. Python’s broad ecosystem of libraries, modules, and frameworks makes application development super easy. It is the backbone of many industry giants like Facebook, Twitter, Pinterest, SurveyMonkey, etc.
R is a dynamic, array-based, multi-paradigm programming language launched back in 1993. It is compatible with all the major operating systems, including macOS, Linux, and Windows. The unique aspect of R is that it doubles up as an environment for statistical computing and graphics. The R environment is an integrated suite of software tools designed for data manipulation, statistical calculation, and graphical display. Read more on career opportunities in R.
R is highly extensible and offers a host of statistical (linear/non-linear modelling, time-series analysis, regression, classification, clustering, etc.) and graphical methods. Being a multi-paradigm language, R supports object-oriented, imperative, functional, and procedural programming paradigms.
Like Python, R comes with an impressive range of libraries like ggplot, tidyr, leaflet, etc. R’s scalable qualities and capacities for statistics and data visualisation are what makes it a favourite of developers and Data Scientists.
R programming language is used for statistical computing and data analysis. It is renowned among data scientists since it provides a wide range of libraries useful for data analysis and manipulation. Being a programming language, its code can be written to automate tasks. These aspects help it to find a place in the list of top 10 programming languages of the future. One of its limitations is that it is difficult to learn, specifically for those unfamiliar with statistics.
Java is the unrivalled organisation king when it comes to server-side application development. It is a class-based, object-oriented programming language used for building software products, mobile applications, web applications, games, web servers, and application servers. Java has long been the leading choice for Android app development. Today, Java is also quite popular among Big Data Engineers who use it to develop Big Data ecosystems.
Java libraries, like JSTAT, Deeplearning4j, JavaML, Weka, ADAMS, Mahout, and RapidMiner, are excellent for ML development. Big names like Uber, Airbnb, Google, Netflix, Amazon, and Spotify use Java in their tech stack.
Read more: Java Project Ideas & Topics
Developed by Microsoft, C# is a general, flexible, and open-source, object-oriented programming (OOP) language. It is primarily used for backend development, game development, web/desktop applications, and mobile application development for Windows phones. It runs on the .NET framework.
C# is widely preferred thanks to its ease-of-use and well-built architecture. It has a dedicated .NET Core machine learning platform – ML.NET – to cater to Machine Learning development needs. There’s also Accord.NET and ML-Agents that allows .NET developers to develop unique ML applications.
C# is extensively used to develop desktop apps, web apps, games, and much more. Essentially, Microsoft developed C# to rival Java. It is widely used in the business environment as well as for game development along with the Unity engine. It allows you to develop applications not just for websites but for mobile applications too.
It shares similarities with structured programming languages but is accepted as an object-oriented programming language. You can find a huge number of innovative solutions in C#. For example, you can explore the crypto library, tools for unit testing, multi-threading, and Marvellous collections handling.
Another prominent benefit of using C# is that it provides type safety. This feature helps decrease the number of errors generated by incorrect code. These advantages suggest that it is one of the top 10 programming languages of the future. One of its limitations is that it can be challenging to find skilled developers.
C++ is a general-purpose, cross-platform programming language developed by Bjarne Stroustrup as an extension of C. As a result, C++ combines the features of OOP, imperative, and generic programming languages. It offers developers a high level of control over memory and system resources. Speed and efficiency are the two core features of C++ that allow developers to design and build high-performance applications.
C++ is used for developing operating systems, embedded systems, and Graphical User Interfaces (GUIs). Since it is portable, C++ can help build applications that can adapt to multiple platforms/environments. For Machine Learning, C++ has designated ML repositories like Turi Create, TensorFlow, and LightGBM.
It is used to develop browsers, operating systems, games, and more. It supports various ways of programming, such as object-oriented, procedural, functional, and more. Therefore, it is flexible and powerful. It is extensively used for professional software game development as well as high-performance applications, including machine learning.
It equips programmers with superior control over the system’s memory and resources. You can also find the widespread usage of C++ in embedded systems, graphical user interfaces, and the latest operating systems. It is quite easy for programmers to switch to C from C++ or vice versa. It is one of those future programming languages that was developed to improve the C language to embrace an object-oriented paradigm.
Kotlin has a relatively easy-to-learn structure, and apart from Android development, it can be used for web development, desktop app development, and server-side development. Kotlin is concise, safe, and tool-friendly (you can bundle it with any Java IDE or even build via the command line).
It is a general-purpose, statically typed, cross-platform programming language featuring Type inference. Primarily, it is developed to completely inter-operate with Java.
The convenient interoperation between Kotlin and Java Android development is faster. Scotland solved the key issues that occurred in Java, and the developers have rewritten various Java apps in Kotlin. Kotlin’s syntax is easy to learn for novices and provides a wide range of powerful features. It could prove to be an outstanding programming language for experienced programmers.
It features a shallow learning curve, specifically for those who are experienced in Java or Python. Lately, Google declared that Android development would be progressively Kotlin- first. Moreover, it mentioned that several top apps have migrated to Kotlin. Therefore, it is one of the best future programming languages.
Also Read: Highest Paying Programming Language in India
There is a massive growth noticed in the usage of this programming language. Moreover, it is the foundation of most frameworks and libraries for Vue, React, and Node. It can operate in almost all contemporary web browsers. Primarily, web browsers use this programming to develop a dynamic and interactive experience for the users.
Scala allows developers to easily access JVM features and Java libraries to build applications for various use cases, ranging from web applications to complex ML models. It is used by companies like LinkedIn, AT&T, eBay, and Bloomberg.
It features a powerful static type system and is designed to be concise. It is a fusion of two programming paradigms. It runs on the JVM. Moreover, it attempts to address many limitations of Java.
It is frequently used in data science. It is an extremely compatible language and can be easily installed into Unix and Windows OS. It is one of the future programming languages 2025 that is beneficial for developers to enhance their business applications and productivity. Besides, it is reliable and scalable. It doesn’t involve the concept of primitive data because everything is treated as an object in Scala. This programming language is designed to specify the general programming patterns in a concise, refined, and type-safety manner.
Swift is a compiled, general-purpose, multi-paradigm programming language developed by Apple as an upgrade over Objective-C. Swift operates in collaboration with Apple’s Cocoa and Cocoa Touch frameworks. Swift can readily interoperate with the already existing pool of Objective-C code.
With a neat and cohesive syntax, Swift boasts of being a beginner-friendly language. It is a highly expressive and enjoyable scripting language that lets you experiment with the code and view the real-time results. By combining type inference with a modern, lightweight syntax, Swift allows developers to express complex ideas clearly and concisely.
It helps if you have the knowledge and mastery over multiple programming languages in the modern competitive market. As these ten languages have a wide range of industry applications, they often garner high salary packages and promise commendable career growth. What’s interesting to note is, coding skills are valued by companies and organizations worldwide. Thus, if you master at least two to three programming languages, you can find job opportunities in established institutions all over the world.
Swift is perfect for mobile developers. Apple developed it for developing mac OS and iOS applications. It is an easy-to-learn, multi-program, and general-purpose compiled programming language. Mastering Swift can help you make a significant amount of money.
Some of its key benefits include being efficient, fast, secure, and facilitating a high level of interactivity. It is developed using a contemporary approach to boost the performance of the software design patterns. The swift project aims to develop the best language for users, whether mobile programming, desktop apps, or Cloud services.
It will be one of the highly demanding languages of 2021. It will continue to be demanding in 2025 and beyond. Therefore, it is considered one of the future programming languages 2025.
Now that you know which are the Top programming languages in the job market, you can upgrade your skillset to include at least one (better if multiple!) of these high paying programming languages.
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