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7 Computer Programming Languages that You Should Learn in 2022

 / November 03, 2021

Computer programming languages are an array of alphanumeric strings that help build software programs and instructions for computers. In other words, they act as a bridge to help human beings communicate with those machines. In this article, we’ll recap the top seven promising coding languages to learn in 2022. 

Tiobe, a world-renowned software quality company, concludes that there are 245 notable programming languages in the software industry. But engineering students don’t need to learn all of them. Depending on their major and future job requirements, learners will get access to different coding languages. For example, those pursuing the realm of information security should learn about Python, C/C++, PHP, Assembly, Go, and JavaScript.

Computer Programming Languages that You Should Learn
Computer Programming Languages that You Should Learn

The software industry has witnessed various new coding languages (e.g. TypeScript, Kotlin, or Julia) gain increasing popularity and interest among software developers or engineers. Having said that, traditional computer programming languages stand out in the market and account for the massive shares of commonly used tools in projects, regardless of scales and segments. 

Thereby, the seven following coding languages are forecast to rule the roost in 2022:

  • Python
  • JavaScript
  • Java
  • C#
  • C
  • C++
  • Go

Python

python
Python programming language

It stays on the top of the ranking list of IEEE Spectrum, the world’s leading magazine for engineering and applied sciences. 

Python is a high-level versatile programming language as it’s highly applicable in multiple IT sub-segments. For example, the coding language is often used with other tools like Flask and Django for web development, whereas Scons and Apache Gump are integrated with Python for software development. Beyond that, the language is widely used for automation, system management, scientific domains, and more. 

Its huge support for libraries, frameworks, and tools, especially in machine learning and data science, is essential to ease the collection of empirical data and the incorporation of relevant databases. Among major computer programming languages today, Python has one of the smallest learning curves with simple syntax and the fastest debugging processes. However, Python itself has a slower processing speed than Java and C/C++, so it’s not frequently used to build real-time apps or memory-intensive apps. 

JavaScript 

JavaScript
JavaScript programming language

This is the world’s leading programming language for web development because it’s popular to develop both client and server terminals. So little wonder why JavaScript holds a strong status in the most commonly used languages in many consecutive years (66.7%), according to StackOverflow. 

Various popular frameworks like Node.js work with JS to build a multi-paradigm (e.g. functional or object-oriented) backend. Meanwhile, the language plays an integral part in developing interactive and user-friendly websites with the full support of frontend frameworks and libraries such as React or Vue.js. Other tools such as Mocha and Jest also work with JavaScript to test the compatibility of websites with predetermined specs. 

For some developers, the most obvious downside of JavaScript is they struggle to master this language.

Java

The Best Language for App DevelopmentJava (for Android devices)
The Best Language for App DevelopmentJava (for Android devices)

Contrary to rumors that Java is out-of-date and soon dead, the language still commands a significant space in the development sphere. 

Java features well-maintained libraries and frameworks (e.g. Hibernate or Spring) that help develop appealing Android mobile apps and complicated web projects at enterprise levels. But compared with other mainstream programming languages, Java’s community support is more modest. 

Moreover, its Java Virtual Machine (JVM) enables developers to write codes once and reuse them on various platforms and OS configurations without hassle. Also, the language is acclaimed for its ability to curb security risks and automatically control memory storage. Therefore, Java has a high application in the segment of research and analytics as well. 

C#

C# the best language for app development
C# the best language for app development

Commonly called “See Sharp”, C# was originally developed by the Microsoft team to support the .NET framework. That’s why this language’s tools and libraries mostly add functionality to this framework. Concurrently, C# is syntactically similar to C/C++ or Java because they come from the same C family of language. So, it encompasses a strong typing and object-oriented paradigm. The integration of CLR (Common Language Runtime), a virtual machine component to operate any .NET programs, allows C# to work independently of any platform. 

Today, C# is popular for web development, business apps, video game development for PC and Xbox, and more. 

C

c programming language
C programming language

This is among the oldest computer programming languages in the world. Despite the dominance of other new languages, C still plays an important role in the tech industry. It places a foundation for developing other high-level languages and it’s widely applied to write system apps. So it may work resourcefully on cross-platform business apps, computer games, and more.

Apart from providing rich libraries and built-in operators, C works best in building small embedded systems which are a base for the Internet of Things. With the future booming of this technology, we cannot overlook C’s role. 

C++

c++
C++ programming language

Initially an extended variant of C, C++ hence inherits numerous features of C such as compatibility with hardware gadgets. This language has fewer practical usage than other major counterparts, let alone its so-called messy syntax. But Tiobe indicates that this programming tool still has its own appeal these days. In addition, it has a massive support community and a diversity of libraries to create software products.

Modern C++ is a compiled language that converts source codes to machine codes via compilers (e.g. XCode or Microsoft Visual Studio). C++ is highly applicable to research, analytics as well as the development of video games and system software. 

Go

Golang computer programming languages
Golang computer programming languages

Emerging as a rock-star programming language, Go (also known as “Golang”) was originally created by Google engineers to advance programming productivity for huge databases and networked, multicore machines. This compiled language has some similarities with C in terms of syntax but comes with other outstanding features such as garbage collection, CPS-style concurrency, or structural typing. 

Despite being the “youngest” programming language in this list, Go rapidly became one of the most adored languages of 62.3% of surveyed developers. Go has a wide application in numerous areas such as software development or backends for mobile and web apps. 

The Future of Programming: AI and Machine Learning

Artificial Intelligence (AI) refers to all capabilities added to machines to make their systems do whatever human beings can do at present. Meanwhile, Machine Learning (ML) is a branch of AI, which provides systems with the ability to automatically learn something without human intervention. 

Both AI and ML have a significant impact on the prospect of programming. DeepCoder, an AI tool created by Microsoft and Cambridge University, is capable of harvesting and self-learning code fragments. And DeepCoder is not the only culprit that instills the fear of unemployment among developers in the future. One question here is whether AI can completely replace programmers in scripting codes in the future. 

Although AI-powered tools may become increasingly smarter, they have a long way to catch up with their science fiction counterparts. Instead, AI and ML programs function as right-hand assistants to help programmers:

  • improve their ability to write codes;
  • learn how to make greatly complicated systems work together;
  • detect bugs with ease and fix them before programs go to the market;
  • Speed up their work by assisting them with daunting, non-core functions so that they can stay more focused on main tasks.

The Future of Programming: IoT and Big Data

The concept behind the IoT is that machines now are attached with tiny censors and connected with each other through the Internet to receive and transmit hefty amounts of real-time data from and to different sources. Meanwhile, Big Data helps companies to handle three key challenges of massive databases in terms of volume, variety, and velocity. 

According to the Data Age 2025 report sponsored by Seagate, companies must confront the difficulty of managing the global atmosphere. Thereby, 60% of the world’s data is contributed by enterprises by 2025. Meanwhile, single users mostly increase their content (e.g. texts or videos) on social media, which presents a bigger challenge for those sites to store and control such personal data. Cloud computing is considered a strategic solution, with 49% of data is expected to stay on the cloud in 2025. 

Big data a necessity in the times of IoT
Big data is a necessity in the times of IoT

The prospective development of IoT and Big Data as well as data migration to the cloud has considerably increased the demands for some computer programming languages (e.g. C/C++, Python, Go, or Rust) and other essential technologies. 

Conclusion

In the future, when more physical objects can become smarter thanks to embedded sensors or programmed commands, the role of software engineers and developers in different domains will prove more important. This promotes them to master their coding skills to produce expected deliverables. 

However, no software developer or engineer excels in only one coding language. When the job fair is increasingly competitive and advanced technologies appear to meet more diverse demands of companies and end-users, developers need to enhance their mastery of more computer programming languages that serve their jobs and projects best. 

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