Chore: improve python model blueprint example docs

docs/concepts/models/python_models.md

@@ -327,7 +327,45 @@ Note that arguments must be specified explicitly - variables cannot be accessed
 
 ## Python model blueprinting
 
-A Python model can also serve as a template for creating multiple models, or _blueprints_, by specifying a list of key-value dicts in the `blueprints` property. Please refer to the Python-based SQL model [documentation page](./sql_models.md#Python-model-blueprinting)) for more details.
+A Python model can also serve as a template for creating multiple models, or _blueprints_, by specifying a list of key-value dicts in the `blueprints` property. In order to achieve this, the model's name must be parameterized with a variable that exists in this mapping.
+
+For instance, the following model will result into two new models, each using the corresponding mapping in the `blueprints` property:
+
+```python linenums="1"
+import typing as t
+from datetime import datetime
+
+import pandas as pd
+from sqlmesh import ExecutionContext, model
+
+@model(
+    "@{customer}.some_table",
+    kind="FULL",
+    blueprints=[
+        {"customer": "customer1", "field_a": "x", "field_b": "y"},
+        {"customer": "customer2", "field_a": "z", "field_b": "w"},
+    ],
+    columns={
+        "field_a": "text",
+        "field_b": "text",
+        "customer": "text",
+    },
+)
+def entrypoint(
+    context: ExecutionContext,
+    start: datetime,
+    end: datetime,
+    execution_time: datetime,
+    **kwargs: t.Any,
+) -> pd.DataFrame:
+    return pd.DataFrame(
+        {
+            "field_a": [context.var("field_a")],
+            "field_b": [context.var("field_b")],
+            "customer": [context.var("customer")],
+        }
+    )
+```
 
 ## Examples
 ### Basic