Pros and Cons of R and Python Programming Language and Its Application
The R refers to the programming language developed for graphics and statistical computing. In contrast, Python programming language refers to a programming language that supports general purpose such as the development of data science, creation of prototype software and web applications (Ohri, 2018). The advantages of R programming language include a massive collection of various application libraries, support different platforms, and are also open-source software that utilizes distributed and parallel computing. The disadvantages of R programming language include poor security, lack of dedicated support team, slow speed and redundant application libraries. The advantages of Python include easy learn to read and write. Also, python programming has vast application libraries and is also a more accessible language to sustain and maintain. The disadvantages of Python include consumption of high memory hence inappropriate for the game and mobile website development.
The R and Python programming has a foreseeable future application in the analysis of massive data displayed in graphical representation by empowering research scientists to make instant decisions (Fahad& Yahya, 2018). Moreover, the Python and the R programming language can also help in spotting trends with distinct origins and vast volumes of data, therefore, enabling easy action against any bearing spotted. The application of Python and R programming can also recognize accidental and connections and similarities through the elimination of outliers, excluding and appending data collections. Additionally, the use of Python and R language has the possibility of making it easy for other people to understand big data more efficiently.
References
Fahad, S. A., & Yahya, A. E. (2018). Big Data Visualization: Allotting by R and Python with GUI Tools. In 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 1-8). IEEE.
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Ohri, A. (2018). Python for R users: A data science approach.
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