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These programming languages will help you get better jobs
Programming languages are computer languages that are used by programmers (developers) to communicate with computers. It is a set of instructions written in any specific language (C, C++, Java, Python) to perform a specific task. A programming language is mainly used to develop desktop applications, websites, and mobile applications. Here are the top languages that will be most popular in 2022.
Built-in 1991 by James Gosling, Mike Sheridan, and Patrick Naughton as the language ‘Oak’, Java was the first language to have a big global impact. While the new programming language used the same format as C/C++, it incorporated certain new ideas to make it more appealing to more people. Java runs on the principle of “Write Once, Run Anywhere” – implying that systems with varying hardware and OS configurations can run Java programs with ease.
Java also has a wide variety of libraries and frameworks which utilize Java under the hood. Java is used for app development through Spring and Hibernate. JUnit helps us set up unit tests for our Java projects. Most importantly, Java is being used in the development of native Android applications (the Android SDK is itself powered by the Java Development Kit or the JDK). Java is probably the language that most people were introduced to as part of an introductory computer programming course in college or in school. Java is the language used for teaching object-oriented programming to the masses.
Java is also highly respected in the field of analytics and research. The only problem with Java is that there are very few support packages and projects for the language at present. There’s very little community involvement – something that most mainstream languages have. Despite that, Java is a language that is very easy to pick up and learn – partly explaining the appeal for the language. However, it does take some time for one to attain some form of mastery over the language.
Python was built by Guido van Rossum in the late 1980s in the Netherlands. Initially built as a competitor for Java in the industry, Python slowly shot forward in popularity. Currently, Python has built huge popularity among both the researcher as well as the developer community. Python sits at the top of the language ranking for the IEEE Spectrum, having a score of a perfect 100. Moreover, Python also commands respect and has a support percentage of 44.1%.
Python probably has the largest support for data science and machine learning in general. While there are other languages like R and MATLAB which do offer competition, Python’s the strict ruler of the data science space. A majority of the frameworks and libraries used in machine learning are made in Python only, making it probably the best language to pick up if one wants to learn about machine learning (or data science in general).
Perhaps one of the most shocking answers that one can expect in this article is C++. Despite being the language that most people use to learn the concepts of data structures and algorithms, the language itself finds little usage in the practical world. First created by Bjarne Stroustrup as an extension of the C programming language in 1982, C++ went on to make a name for itself in the years to come.
C++ finds use in analytics, research as well as in game development. The popular game development engine – the Unreal Engine – uses C++ as the scripting language for all of the functionality one can define while building a game. C++ also finds extensive use in software development. Being mid-way between the object-oriented approach and the method-oriented approach allows C++ to be flexible in the nature of software that can be produced using it. Being located 4th in the TIOBE index signifies that C++ continues to have an appeal to this day. C++ is also extensively used in system software development, being easier to understand than other languages. The main reason for using C++ in a sensitive area like the OS is that C++ programs have a very low compilation time.
C++ probably has the largest learning community among all of the languages. Most students would start their algorithms courses building trees, linked lists, stacks, queues, and numerous other data structures in C++. Naturally, it is quite easy to pick up and learn as well as easy to master if one pays attention to details.
CUDA-C is one of the top programming languages used by game developers to build desktop games. When it comes to gaming, CUDA-C cores make your game appear more realistic by presenting high-resolution visuals that create a profound 3D impression. You will also examine that your games are more lifelike, with better lighting and colors.
Golang is slightly more difficult to learn than the other languages on this list. Moreover, Golang is an open-source language that frequently changes with every major update, so staying updated is a necessity.
Lua is a lightweight, cross-platform scripting language, is gaining traction in the gaming industry. Because of its easy language syntax, it has become one of the top programming languages for games. Lua is the major programming language used by game engines such as Gideros mobile, Corona SDK, and CryEngine. Age of Conan, American Girl, Angry Birds, and Aquaria are among the most popular Lua gaming projects.
Dart is one of the fastest-growing languages in the industrial sphere. Google’s contribution in the sphere of languages has significantly increased to compete with the increase in popularity of Microsoft’s TypeScript. Dart has been highly adored by programmers around the world for its simplicity.