Data Science, Python, Pandas.
.to_parquet(‘./uniques.parquet’) for item in pd.read_parquet(‘./uniques.parquet’, engine=’pyarrow’).itertuples(): t = dfd.groupby([‘article’,‘coming_from’])\ .get_group(item)\ .compute() ... That should work, but the process would be incredibly slow. That’s why I gave up on using Dask for this