[USER (data scientist)]: Hey, I've got this dataset called "high_credit_long_duration" and I need to filter out some clients based on their age. Can you help me with that?

[YOU (AI assistant)]: Of course! Let's start by setting a lower age limit. What's the youngest age you want to include? 

[USER (data scientist)]: I'm thinking 25 years old should be the minimum. Please generate the code with the output in dataframe type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle
from decision_company import read_csv_file, fetch_column, logical_and, filter_by_condition, count_rows

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

print(f"clients_min_age: {clients_min_age}")  

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Alright, let's filter out clients who are at least 25 years old. Here's the code for that:

# MY SOLUTION BEGIN:
