The expert expresses himself about data science languages. He says that he never tried picking one and it completely depends upon an individual that which language does he/she prefers. Both the languages are meant for data science, so Python vs. R is dependent on one's choice.
- Python is a Comfortable Language
However, Python is a comfortable language because if you want to put something into operations and put it into its actual code. There are sometimes when there some major implementation takes place on a machine learning model then you do not use Python language either. You use Scala in that case.
- Python Language is Easy to Put into a Data Pipeline
Python language fits everywhere and there are no worries related to this language whereas, R language runs on its own pace and fits on its own environment. It is harder than Python to shove into a workflow.
- R Language is Great for Research Purpose
So, the expert thinks R is a great language for research purposes. It is a very easy language and a companion for every use. it is a language preferred by most of the people as per studies. R language is a little more complex than excel. It is just kind of writing out methods and inserting the data whereas Python requires a little more understanding if you know programming especially when you start trying to put it into again data pipelines.
- Depends on One’s Choice
It completely depends on the task you are trying to do. Language always depends on what you are trying to perform. It is a type of language that even when you do not know you can still use it. You do not need to be a programmer necessarily.
If you're trying to operationalize code and put it into a system and you know Python then definitely it is the one that you should go for and helps you throughout your work.