Difference between dask pivot_table and pandas pivot_table python
Definitely Dask. The way pandas work is, it processes everything as a monolithic block in memory and is not parallelizable, while Dask is made to break the data frame into chunks that can be processed in parallel.
It seems we can achieve same goal using pivot_table from both libraries, but which one is more efficient in performance for large dataset?