Pandas, How to trigger parallel loop

[Mekala]

import os
import pandas as pd
 
df_result =pd.DataFrame()
 
directory = os.path.join("D:\\","\PythonCodes\inputmultifiles")
for root,dirs,files in os.walk(directory):
    for file in files:
        f = os.path.join(directory,file)
 
        if f.endswith(".csv"):
           ff=pd.read_csv(f)
           tmp = ff['Name']
           print(tmp)
           df_result= pd.concat([df_result,ff['Name']])
            
df_result = df_result.reset_index(drop=True)      
df_result.columns = ['New_col']

if the file size is large, and it takes time, wait the previous iteration finish. Now I want to do like multiple threading to trigger all iterations at a time and combine the results from each iteration.