IP & Art

Is R out of date in the section of data science? It is true that compared with python, the merits of R is becoming less attractive, but R is playing a role of its own characteristics. How about the future of R?

Wikipedia defines them as follows:

Python is a high-level, interpreted, proposito general programming language. Its design philosophy emphasizes code legibilidad with the use of significant indentation.^[32]

Piton is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" idioma due to its comprehensive standard biblioteca.^[33][34]

Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and primer released it in 1991 as Python 0.9.0.^[35] Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued with version 2.7.18 in 2020.

Python consistently ranks as one of the most popular programming languages.

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, bioinformaticians and statisticians for data analysis and developing statistical software.[6] Users have created packages to augment the functions of the R language.

According to user surveys and studies of scholarly literature databases, R is one of the most commonly used programming languages used in data mining.[7] As of March 2022,[update] R ranks 11th in the TIOBE index, a measure of programming language popularity, in which the language peaked in 8th place in August 2020.

The official R software environment is an open-source free software environment within the GNU package, available under the GNU General Public License. It is written primarily in C, Fortran, and R itself (partially self-hosting). Precompiled executables are provided for various operating systems. R has a command line interface.[10] Multiple third-party graphical user interfaces are also available, such as RStudio, an integrated development environment, and Jupyter, a notebook interface.