Python Programming: Program to run loop 900K times to select 30 random numbers for each record of 900k customers

Team, I am working on a logic...but taking more time than expected...

Problem:

• Dataset (A) with 60 products ids

• Dataset (B) has around 90K customers

I need to assign 30 random nomination ids for each customer.....Below is my code

#List of 90K customers

web_cust_temp = web_cust['prsn_code'].tolist()
default_nom_ids['key']=1
    

#Allocating n default to each customers
num_default=30    
 
#Create empty dataframe
final_df=pd.DataFrame()
for x in web_cust_temp:
    default_nom_temp=default_nom_ids.sample(n=num_default)
    prsn_df=pd.DataFrame([x])
    prsn_df['key']=1    
    interim=prsn_df.merge(default_nom_temp, how='inner', on=['key'])
    final_df=pd.concat([final_df,interim],axis=0)