Tag Archives: R

Dplyr-Style Data Manipulation With Pandas

In this talk, Ian Cook will discuss how to apply the tenets of R’s dplyr package (immutability, chaining, consistency, parsimony) when working with Python’s pandas library. In the R community, dplyr is the most widely used data manipulation package. dplyr provides a small, consistent set set of “verbs” (functions) that you can use to perform most common operations on R data frames.

Tagged , , , , | Comments Off on Dplyr-Style Data Manipulation With Pandas