- It will be million dollar question which on will be better to use for right scenario.Both Python and R are most popular languages for data analytic task.
- If you are working with data that’s been standard structured format , and your mainly opted in analysis of that data, you can move with R programming. If you have to work unstructured formats of data , or data from websites, files, or other data sources, you should start to use Python.
- R is more functional oriented programming , But Phyton was baked with object oriented programming
- Both the languages are equally good. Therefore, depending upon your domain and the place you work, you have to smartly choose the right language. The technology world usually prefers using a single language. Business users (marketing analytics, retail analytics) usually go with statistical programming languages like R, since they frequently do quick prototyping and build visualizations (which is faster done in R than Python).