4 uncommon programming languages for budding coders
The young generation today not only wants to learn multiple new-age skills but also unique ones that will make them stand out in the crowd, especially during job interviews. Moreover, the world of technology is constantly evolving. So, youngsters must acquire unique skills as well, to keep up with the changing times.
So, budding programmers need to have a grasp of the lesser-known programming languages like Dart, CSS as well as STEM portfolio apart from the popular ones like Java, Python and HTML. Knowledge about these uncommon languages will give them an edge over others in fields like Machine Learning, AI, Data Science and Web Development. Here is a list of 4 uncommon programming languages that budding coders should try out.
Dart
Dart is an open-source programming language developed by Google that is easy to learn and has interactive scopes. It can be used in both server side as well as browser side programming. Unlike other programming languages that support different codebases for different platforms, the Dart framework is custom-made which helps in composing a single code application suitable for all platforms, be it iOS or Android or Windows. In fact, it also has the option of sharing codes across different mobile applications.
Assembly Language
It is a beginner’s level programming language having a user-friendly interface used by web developers to easily interact with a computer’s hardware system. Assembly Language, unlike other programming languages, includes distinctly readable hexadecimal and binary characters.
CSS
If a budding coder is already familiar with HTML, it is time for him or her to move on to Cascading Style Sheets CSS. It is usually supported by HTML and helps in assessing a website’s outlook. While HTML organizes texts from the websites into chunks, CSS determines the external features of a website, like size, colours and position of all elements.
R
R, also known as “digital lingua franca of statistics” is a programming language that analyses data. It was specially designed by statisticians for statistical computing, but is nowadays used by data scientists in data tech companies or research institutes to collect, assess and monitor their day-to-day complex data system. The bonus of this programming language is that, apart from being open source, it also supports cross-platform applications. The community already has over 6 million data stored into its repository.