diff --git a/docs/tutorial/1-serialization.md b/docs/tutorial/1-serialization.md
index 458161d07..80e869ea6 100644
--- a/docs/tutorial/1-serialization.md
+++ b/docs/tutorial/1-serialization.md
@@ -151,7 +151,7 @@ We've now got a few snippet instances to play with.  Let's take a look at serial
 
     serializer = SnippetSerializer(snippet)
     serializer.data
-    # ReturnDict([('pk', 2), ('title', u''), ('code', u'print "hello, world"\n'), ('linenos', False), ('language', 'python'), ('style', 'friendly')])
+    # {'pk': 2, 'title': u'', 'code': u'print "hello, world"\n', 'linenos': False, 'language': u'python', 'style': u'friendly'}
 
 At this point we've translated the model instance into Python native datatypes.  To finalize the serialization process we render the data into `json`.
 
@@ -182,8 +182,7 @@ We can also serialize querysets instead of model instances.  To do so we simply
 
     serializer = SnippetSerializer(Snippet.objects.all(), many=True)
     serializer.data
-    # [OrderedDict([('pk', 1), ('title', u''), ('code', u'foo = "bar"\n'), ('linenos', False), ('language', 'python'), ('style', 'friendly')]), OrderedDict([('pk', 2), ('title', u''), ('code', u'print "hello, world"\n'), ('linenos', False), ('language', 'python'), ('style', 'friendly')]), OrderedDict([('pk', 3), ('title', u''), ('code', u'print "hello, world"\n'), ('linenos', False), ('language', 'python'), ('style', 'friendly')])]
-
+    # [{'pk': 1, 'title': u'', 'code': u'foo = "bar"\n', 'linenos': False, 'language': u'python', 'style': u'friendly'}, {'pk': 2, 'title': u'', 'code': u'print "hello, world"\n', 'linenos': False, 'language': u'python', 'style': u'friendly'}]
 
 ## Using ModelSerializers