Python is the easiest coding language to learn for the first time learners. Python is a widely used high-level programming language used for general-purpose programming, as it is simple and readable. C++ is a powerful, high-performance language used to build system software, games engines and desktop and web apps. It has imperative, object-oriented and generic programming features. Although originally designed as a systems programming language, C has proved to be a powerful and flexible language that can be used for a variety of applications, from business programs to engineering.Ĭ++ is a general-purpose programming language based on C language. C is a compiled, procedural language developed in 1972 by Dennis Ritchie for use in the UNIX operating system. This programming language has long-term compatibility and developers are comfortable with Java.Ĭ is the predecessor of C++ and is a simplified and less functional version. It is also commonly used as a server-side language for enterprise-level backend development.
It is used to develop all kinds of Android apps, desktop apps, and video games.
It is a class-based, object-oriented language and designed to be portable, which means that you can find it on all platforms, operating systems, and devices. Java is one of the most popular, most adopted and general-purpose programming language used by millions of developers and billions of devices around the world. List of the most popular programming language in 2018 “Even a scripting language such as JavaScript that is inevitable while doing web programming was forced to evolve to a safer language,” stated the report.īased on research data as of February 2018, here is the list of the top 10 programming languages in 2018, according to the TIOBE Index and PYPL rankings.
The reason behind this is the difficulty in writing a critical and large software system, which meets high-quality demands.
While Python continued to maintain its popularity, other scripting languages such as Perl, PHP, and Ruby have seen a decrease in their popularity.
Alternatively, PYPL uses the raw data from Google Trends to calculate the rankings, which is based on the more number of searches for a particular language tutorial, the more popular it is assumed to be. For those unaware, TIOBE calculates the rankings based on the number of search engine queries, which contain the name of the programming language as a keyword.