The pandas library offers two main methods for selectively getting and setting values in DataFrames: loc and iloc. The loc method is mainly for label-based indexing (for example, identifying rows/columns using their indices/column names, respectively), while the iloc method is primarily for integer-based indexing (for example, identifying rows/columns using their integer positions in the DataFrame). The specific labels/indices of the rows and columns you wish to access are provided following the name of the DataFrame using square brackets, with row labels/indices preceding column labels/indices and separated from them by a comma. Let's look at some examples.