This chapter focuses on comparing pandas with R, the statistical package on which much of the pandas functionality is modeled, and other tools such as SQL and SAS, with which it has a significant degree of overlap. It is intended as a guide for R, SQL, and SAS users who wish to use pandas, and for users who wish to replicate functionality that they have seen in their code in pandas. It focuses on a number of key features available to R, SQL, and SAS users, and demonstrates how to achieve similar functionality in pandas by using some illustrative examples. This chapter assumes that you have the R statistical package installed. If not, it can be downloaded and installed from here: http://www.r-project.org/.
By the end of the chapter, data analysis users should have a good grasp of the data analysis capabilities of these tools as compared to pandas...
