diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 2782ee7b9d201..bc045d74cee52 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -1059,7 +1059,7 @@ def to_gbq(self, destination_table, project_id, chunksize=10000,
         private_key : str (optional)
             Service account private key in JSON format. Can be file path
             or string contents. This is useful for remote server
-            authentication (eg. jupyter iPython notebook on remote host)
+            authentication (eg. Jupyter/IPython notebook on remote host)
         """
 
         from pandas.io import gbq
diff --git a/pandas/io/gbq.py b/pandas/io/gbq.py
index b452b0cf5ddd4..f9bc6ae1a5451 100644
--- a/pandas/io/gbq.py
+++ b/pandas/io/gbq.py
@@ -65,7 +65,7 @@ def read_gbq(query, project_id=None, index_col=None, col_order=None,
     private_key : str (optional)
         Service account private key in JSON format. Can be file path
         or string contents. This is useful for remote server
-        authentication (eg. jupyter iPython notebook on remote host)
+        authentication (eg. Jupyter/IPython notebook on remote host)
 
     dialect : {'legacy', 'standard'}, default 'legacy'
         'legacy' : Use BigQuery's legacy SQL dialect.