diff --git a/docs/tutorials/anomaly-detection/tutorial_app.py b/docs/tutorials/anomaly-detection/tutorial_app.py
index 38d3b764b..89a4b5080 100644
--- a/docs/tutorials/anomaly-detection/tutorial_app.py
+++ b/docs/tutorials/anomaly-detection/tutorial_app.py
@@ -110,8 +110,8 @@ def main():
     sdf = sdf.apply(lambda result: round(result["value"], 2)).filter(
         should_alert, metadata=True
     )
-    # .to_topic() does not require reassignment ("in-place" operation), but does no harm
-    sdf = sdf.to_topic(alerts_topic)
+    sdf.print()
+    sdf.to_topic(alerts_topic)
 
     app.run()
 
diff --git a/docs/tutorials/purchase-filtering/tutorial_app.py b/docs/tutorials/purchase-filtering/tutorial_app.py
index 195afcf7c..302cf0d7f 100644
--- a/docs/tutorials/purchase-filtering/tutorial_app.py
+++ b/docs/tutorials/purchase-filtering/tutorial_app.py
@@ -99,8 +99,9 @@ def main():
     ]
     sdf["Full Name"] = sdf.apply(get_full_name)
     sdf = sdf[["Full Name", "Email"]]
-    # .to_topic() does not require reassignment ("in-place" operation), but does no harm
-    sdf = sdf.to_topic(customers_qualified_topic)
+
+    sdf.print()
+    sdf.to_topic(customers_qualified_topic)
 
     app.run()
 
diff --git a/docs/tutorials/word-count/tutorial_app.py b/docs/tutorials/word-count/tutorial_app.py
index 68a52f0b5..104607689 100644
--- a/docs/tutorials/word-count/tutorial_app.py
+++ b/docs/tutorials/word-count/tutorial_app.py
@@ -57,10 +57,11 @@ def main():
     sdf = app.dataframe(source=ReviewGenerator())
     sdf = sdf.apply(tokenize_and_count, expand=True)
     sdf = sdf.filter(should_skip)
-    # .to_topic() does not require reassignment ("in-place" operation), but does no harm
-    sdf = sdf.to_topic(
-        word_counts_topic, key=lambda word_count_pair: word_count_pair[0]
-    )
+    sdf.print()
+    sdf.to_topic(word_counts_topic, key=lambda word_count_pair: word_count_pair[0])
+
+    # Start the application
+    app.run()
 
 
 # This approach is necessary since we are using a Source