Top Ten Popular Programming Languages
Open Source For You|April 2023
Programming languages are the means to communicate with a computer. The instructions written in a programming language are converted into a machine code that computers can understand. Just like there are so many human languages, there are a number of programming languages. Each language is suitable for certain requirements and is able to solve specific problems. There are quite a few programming languages that are in demand today.
Phani Kiran
Top Ten Popular Programming Languages

In the modern digital world, the success of a company depends on the right selection of architecture and design, which in turn depend on the underlying programming languages.

The world is rapidly moving towards low-code and no-code platforms, which require minimal coding knowledge and skills. These are suitable for non-tech people. The rapid rise of cloud-based application development also augurs well for the low-code/no-code paradigm. Applications built using low-code/no-code platforms have short turnaround times. Another pattern that is seen recently is that tools like ChatGPT are being used for coding tasks.

All these methods generate boilerplate code that is mostly generic, has inherent security risks, and may need heavy customisation. Needless to say, these are not a replacement for traditional software development and unlikely to replace skilled coders. However, they can augment the software development process by providing the necessary inputs.

Programming skills in demand

Let’s now look into the various programming languages that are popular in 2023 from the standpoint of their usability and business significance. Note that all the languages listed below are equally popular.

1. Python

Most startups are using Python-based frameworks (Django/Flask). Python is an interpreted, high-level, general-purpose language that supports rapid application development. It is highly readable, intuitive and flexible, and has a good ecosystem of support modules. Python can be used for:

Web development 

Data analysis 

Data visualisation 

Machine learning

2. JavaScript

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