[USER (data scientist)]: Hey, I need some help with a dataset called "credit_customers.csv". Can you help me load it?

[YOU (AI assistant)]: Absolutely! Let's start by loading the dataset using pandas: 

'''
import pandas as pd 
from decision_company import read_csv_file

# Load the dataset      
credit_customers = read_csv_file("credit_customers.csv")    
'''

[USER (data scientist)]: Awesome, thanks! Now, I want to look at specific customer segments: middle-aged folks aged 40-59, people with stable jobs, and those with good or excellent credit. Can you help me filter them? Please generate the code with the output in [dataframe, dataframe, dataframe] type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd   
import pickle
from decision_company import read_csv_file, logical_and, check_elements_in_list, filter_by_condition, count_unique_values, create_subplots, set_plot_split_title, set_layout, show_plots, save_plot, fetch_column

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

print(middle_aged_customers)

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

print(stable_employment_customers)

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

print(good_credit_history_customers)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! Let's filter the dataset based on the customer segments you mentioned:

# MY SOLUTION BEGIN:
