Popular programming languages

R and Python are both open-source programming languages with a large community. New libraries or tools are added continuously to their respective catalog. R is mainly used for statistical analysis while Python provides a more general approach to data science .

R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. Created by statisticians Ross Ihaka and Robert Gentleman, R is used among data miners and statisticians for data analysis and developing statistical software.

Python is beginner-friendly, which can make it a faster language to learn than R. Depending on the problem you are looking to solve, R is better suited for data experimentation and exploration . Python is a better choice for large-scale applications and machine learning.

Overall, Python’s easy-to-read syntax gives it a smoother learning curve. R tends to have a steeper learning curve at the beginning, but once you understand how to use its features, it gets significantly easier . Tip: Once you’ve learned one programming language, it’s typically easier to learn another one.