[USER (data scientist)]: Hey, I've got this dataset called "stable_employment" and I need to do some filtering based on the 'housing' column. Can you help me out with filtering for clients who have 'rent' as their housing type? Please generate a DataFrame of customers living in rented housing.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE]
</code1>
# YOUR SOLUTION END

print(f"rented_housing: {rented_housing}") 

# save data
pickle.dump(rented_housing, open("./pred_result/rented_housing.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Absolutely! To filter the clients with 'rent' as their housing type, you can use this code:
'''
import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
