let
    Source = Python.Execute("import os#(lf)import duckdb as ddg#(lf)import pandas as pd#(lf)from huggingface_hub import HfFileSystem#(lf)#(lf)fs = HfFileSystem()#(lf)#(lf)_bs = [f'hf://{_}' for _ in fs.glob(""datasets/DenyTranDFW/SEC_10K_FSNoNDS_Eat/**/*BS*.parquet"")]#(lf)_cf = [_.replace('10K_BS', '10K_CF') for _ in _bs]#(lf)_is = [_.replace('10K_BS', '10K_IS') for _ in _bs]#(lf)#(lf)# Load and concatenate Balance Sheets#(lf)bs_dfs = [pd.read_parquet(file) for file in _bs]#(lf)bs_combined = pd.concat(bs_dfs, ignore_index=True)#(lf)#(lf)# Load and concatenate Cash Flow Statements#(lf)cf_dfs = [pd.read_parquet(file) for file in _cf]#(lf)cf_combined = pd.concat(cf_dfs, ignore_index=True)#(lf)#(lf)# Load and concatenate Income Statements#(lf)is_dfs = [pd.read_parquet(file) for file in _is]#(lf)is_combined = pd.concat(is_dfs, ignore_index=True)"),
    cf_combined1 = Source{[Name="cf_combined"]}[Value],
    #"Changed Type" = Table.TransformColumnTypes(cf_combined1,{{"name", type text}, {"tag", type text}, {"uom", type text}, {"ddate", Int64.Type}, {"report", Int64.Type}, {"line", Int64.Type}, {"value", Int64.Type}, {"adsh", type text}, {"stmt", type text}, {"form", type text}, {"fy", Int64.Type}, {"fye", Int64.Type}, {"fp", type text}, {"url", type text}})
in
    #"Changed Type"