diff --git a/examples/pipeline/custom_attr_methods.py b/examples/pipeline/custom_attr_methods.py
index 741541b06..18d6b482a 100644
--- a/examples/pipeline/custom_attr_methods.py
+++ b/examples/pipeline/custom_attr_methods.py
@@ -10,7 +10,7 @@ they're called on is passed in as the first argument.
 Developed for: spaCy 2.0.0a17
 Last updated for: spaCy 2.0.0a18
 """
-from __future__ import unicode_literals
+from __future__ import unicode_literals, print_function
 
 import plac
 from spacy.lang.en import English
diff --git a/examples/pipeline/custom_component_countries_api.py b/examples/pipeline/custom_component_countries_api.py
index 38eec7384..e7371e205 100644
--- a/examples/pipeline/custom_component_countries_api.py
+++ b/examples/pipeline/custom_component_countries_api.py
@@ -11,7 +11,7 @@ coordinates. Can be extended with more details from the API.
 Developed for: spaCy 2.0.0a17
 Last updated for: spaCy 2.0.0a18
 """
-from __future__ import unicode_literals
+from __future__ import unicode_literals, print_function
 
 import requests
 import plac
diff --git a/examples/pipeline/custom_component_entities.py b/examples/pipeline/custom_component_entities.py
index 050a89905..6b78744b7 100644
--- a/examples/pipeline/custom_component_entities.py
+++ b/examples/pipeline/custom_component_entities.py
@@ -11,7 +11,7 @@ respectively.
 Developed for: spaCy 2.0.0a17
 Last updated for: spaCy 2.0.0a18
 """
-from __future__ import unicode_literals
+from __future__ import unicode_literals, print_function
 
 import plac
 from spacy.lang.en import English
diff --git a/examples/training/train_parser.py b/examples/training/train_parser.py
index 30a6f6095..a23d73ec7 100644
--- a/examples/training/train_parser.py
+++ b/examples/training/train_parser.py
@@ -90,7 +90,7 @@ def main(model=None, output_dir=None, n_iter=1000):
         nlp.to_disk(output_dir)
         print("Saved model to", output_dir)
 
-        # test the save model
+        # test the saved model
         print("Loading from", output_dir)
         nlp2 = spacy.load(output_dir)
         doc = nlp2(test_text)