Know the 5 Differences Between R vs Python Today, we are living in a world where new technologies keep emerging every day. Every technology have its own pluses and minuses, although each new technology aims to overcome the deficiency of other technologies. The same holds true when we are speaking about programming languages. Present-day programming languages such as C, C++, C#, Java, R, and Python among many others have the capability to bring in something new to this world and also to provide solutions to the existing problems in the tech world. In this article, we will focus towards understanding two prominent languages i.e., R and Python and will discuss some differences these two languages have between them. Readers can also learn in detail about these two programming languages on Simpliv website, through its online video courses. R programming language: Initially let us understand what R is. R is one of the richest ecosystem to perform data analysis. This programming language provides a large set of libraries that makes it one of the preferred choice for statistical analysis, especially for specialized analytical work. Features of R, such as its being an open-source, flexible and having a huge community base, make it a popular programming language. Python programming language: Now let us understand what Python is. Python is a general-purpose, objected-oriented, and high-level programming language. Python is one of the easily readable programming languages. One of the important features of Python is that it supports functional and structured programming methods as well as Object-Oriented Programming methods. Python is a platform-independent programming language and provides a rich set of libraries that make it one preferred programming language for the programmers to develop their projects.
Differences between R and Python:
Now with this knowledge about these two programming languages, let us find out the difference between them. R programming language
Python programming language
R is a statistical programming environment Python is a general-purpose programming and mainly used statistical computing and language mainly used for data analysis and graphics. scientific computing. The main objective of R is Data analysis and The main objective of Python is Data statistics. Science, Web development and Embedded systems. R programming language is mainly used by Python programming language is mainly Statisticians, Analysts and Data Scientists. used by Developers, Data Engineers, and Data Scientists. R programming language is comparatively Python is one of the easy programming difficult to learn. language to learn. Some of the packages and libraries provided Some of the packages and libraries provided by the R programming language are by the Python programming language are tydiverse, ggplot2, caret, zoo. pandas, scipy, Scikit-learn, TensolFlow, caret.
Wrap up: This has been a guide for understanding a few differences between these two prominent programming languages. Both the programming languages are widely used by Data Science professionals. Hope our readers found some valuable information reading this article. If you have other resources to suggest, let us know in the comment section below. Our readers can find a list of online courses on both of these programming languages here. All these courses have been designed by experts and are filled with valuable information.