diff --git a/models/demo_examples/python/forecast_daily_returns.py b/models/demo_examples/python/forecast_daily_returns.py
index d09524f..ad9df82 100644
--- a/models/demo_examples/python/forecast_daily_returns.py
+++ b/models/demo_examples/python/forecast_daily_returns.py
@@ -1,15 +1,18 @@
 import pandas as pd
 from prophet import Prophet
 
+import pandas as pd # import packages
+from prophet import Prophet
+
 def model( dbt, session ):
     
     dbt.config(
-        materialized="table",
-        packages=['pandas','Prophet','holidays==0.18'] # how to import python libraries in dbt's context
+        materialized="table", # the incremental materialization is also supported
+        packages=['pandas==1.5.3','Prophet','holidays==0.18'] # how to import python libraries in dbt's context
     )
 
     # use historical data to fit model
-    df = dbt.ref("agg_daily_returned_orders").to_pandas()
+    df = dbt.ref("agg_daily_returned_orders").to_pandas() # use dbt.ref to reference other models in your dbt project
     df.columns = df.columns.str.lower()
     m = Prophet()
     m.fit(df)
@@ -18,4 +21,8 @@ def model( dbt, session ):
     future = m.make_future_dataframe(periods=365)
     df = m.predict(future)
     
-    return df
+    return df # return final dataset via data frame. This is required. 
+
+# The Preview button in the IDE is disabled, but you can iterate by building the object and then opening a new tab and running... select * from ref('forecast_daily_returns')
+# Tests and Documentation can also be applied to python models, in the same manner as sql models (.yml file or custom tests). 
+