R
R language is an open source programming language. It is maintained by the R core-development team – a team of volunteer developers from across the globe. Also, we use this language to perform statistical operations. And it is available from the R-Project website www.r-project.org. Also, R is a command line driven program.
Python:
It is very easy to learn. Although, its feature itself is modest. They didn’t require too much time in investment. Also, its syntax is easily readable.
Moreover, Python is an ideal teaching language because of this simplicity. Thus it also allows newcomers to pick it up quickly. As we have seen that developers spend their time in thinking about the problem they’re trying to solve, and less time thinking about language complexities.
R vs Python for data science wars
As we are well known to these that both the languages are gaining height in the data analyst community. Moreover, results show that both the languages are fighting to become data scientist’s language of choice.
Introducing the opponents
Current Versions
R – Its current version is 3.1.3 March 2015
Python – The current version of python is 3.4.3 February 2015 /2.7.9 December 2014
History
R:
Creators: It was created by Ross Ihaka and Robert Gentleman.
Release Year: 1995
Basically, R is an implementation of S programming language.
Also, it’s design and evolution is being handled by the R-core group.
Moreover, it’s software environment was written in C, Fortran, and R.
Python:
Creators: Python was created by Guido Van Rossum.
Release Year: 1991
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- There is one important thing about python. That was inspired by C, Modula-c and particularly by ABC.
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- This language gets its name from the “Monty Python’s Flying Circus” comedy series.
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- Basically, there is one software present- Python Software Foundation(PSF). That was responsible to take care of python advances. For more information follow this https://data-flair.training/blogs/r-vs-python/