akimbo: vectorized processing of nested/ragged dataframe columns
We present “akimbo”, a library bringing a numpy-like API and vector-speed processing to dataframes on the CPU or GPU. When your data is more complex than simple one-dimensional columns, this is the most natural way to perform selection, mapping and aggregations without iterating over python objects, saving a large factor in memory and processing time.