Improve performance of GroupBy apply on DataFrames by low-level trickery
Need a "sliding iterator" similar to recent Series groupby optimizations to cut down object creation overhead. Should be relatively straightforward to modify the existing Slider Cython type. Main issue will be taking care with passed functions that modify the size of the DataFrame (like adding a column), but this can obviously all be tested for.
