The research paper mainly concentrates on the comparison of R and Python programming language. More precisely, it outlines the similarities that the two shares with respect to predictive modeling, deep learning and the different library packages. It also goes a long way to contrast the same regarding different features. In fact, it will dwell on the named topics and relation to statistics including matrix multiplication at some point. The topics, therefore, provide detailed information about the two languages. The two languages have various keywords that assist in distinguishing them. They include null that is a special constant in describing the absence of a value. The assert keyword is a major keyword which is used for debugging purposes in the languages. Finally, the study will also reveal several examples and different areas of application of both R and Python.
R, Python Data science, Numpy, Scipy, Pandas, Deep Learning
