Python vs R: Data Analytics perspective

During my masters in Data Analytics, I learnt both Python and R for data analysis and statistics purposes. I have known python programming from my undergrad days but R was totally new for me.

Coming to my experience, I feel that new libraries or tools are added continuously to their respective catalog for both languages. R is mainly used for statistical analysis while Python provides a more general approach to data science.

Python Vs R : (Image Credits: Imaginary Cloud)

I won't be making this article too long and would get to the point.. so lets get into nitty gritty details!

Python vs R

• R is mainly used for statistical analysis while Python provides a more general approach to data science
• The primary objective of R is Data analysis and Statistics whereas the primary objective of Python is Deployment and Production
• R users mainly consists of Scholars and R&D professionals while Python users are mostly Programmers and Developers
• R provides flexibility to use available libraries whereas Python provides flexibility to construct new models from scratch
• R is difficult to learn at the beginning while Python is Linear and smooth to learn
• R is integrated to Run locally while Python is well-integrated with apps