deberarr/Getty ImagesA recent IEEE study on programming language popularity based on job listings sparked some debate on whether the languages used were actually languages. Polls, like those used in political analysis, can be inaccurate due to biases. Business leaders are losing faith in IT, according to an IBM study.
To compile the ZDNET Index of Programming Language Popularity, survey data from nine rankings were aggregated to provide a comprehensive understanding of language interest and usage. People want to know the most popular languages to learn subjects with job opportunities, gauge the relevance of their skills, and choose languages for projects.
Measuring programming language popularity is complex and can involve various factors such as web searches, job advertisements, book sales, existing lines of code, and more. Aggregating data from multiple surveys helps guide career and company decisions.
Raw data was gathered from nine indexes from organizations like PYPL, Tiobe, GitHub, and Stack Overflow to determine popular languages. The resulting language cluster aggregation chart showed the top 19 languages based on weighted data analysis.
In conclusion, popularity is not a straightforward answer and can vary based on different metrics. Aggregating data from multiple sources provides a more comprehensive view of language interest and usage in the programming community.