R is the tool on which pandas is loosely designed. Many of the functionalities are very similar in terms of syntax, usage, and output. Differences occur mainly in some of the data types, which can be the matrix in R versus arrays in pandas, an aggregation framework, such as the aggregate function in R and the GroupBy operation in pandas, and subtle differences in the syntaxes of similarly named functions, such as melt and cut.