[USER (data scientist)]: Cool, now let's figure out the mean, median, and quartiles of the property ages. Please generate values (mean, median, first quartile, and third quartile) for property ages in the 'flemington_housing' dataframe and serialize them as pickle files.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import pickle

melbourne_housing = pd.read_csv("melb_data.csv") 

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END:

print(mean_age)

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

print(median_age)

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

print(first_quartile )

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

print(third_quartile)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Alright, here's the code to calculate the mean, median, and quartiles of property ages in Flemington: 
