R Programming Language
R Programming Language is used for machine learning algorithms, linear regression, time series, statistical inference, etc. It was designed by Ross Ihaka and Robert Gentleman in 1993. R is an open-source programming language that is widely used as a statistical software and data analysis tool. R generally comes with the Command-line interface. R is available across widely used platforms like Windows, Linux, and macOS. Also, the R programming language is the latest cutting-edge tool.
R vs Python
R Programming Language and Python are both used extensively for Data Science. Both are very useful and open-source languages as well. For data analysis, statistical computing, and machine learning Both languages are strong tools with sizable communities and huge libraries for data science jobs. A theoretical comparison between R and Python is provided below:
In this article, we will cover the following topics:
- R Programming Language
- Python Programming Language
- Difference between R Programming and Python Programming
- Ecosystem in R Programming and Python Programming
- Advantages and disadvantages in R Programming and Python Programming
- R and Python usages in Data Science
- Example in R and Python