pandas-dev · mroeschke · Aug 8, 2023 · Jul 20, 2023 · Jul 21, 2023 · Jul 24, 2023
diff --git a/doc/source/user_guide/missing_data.rst b/doc/source/user_guide/missing_data.rst
@@ -91,6 +91,8 @@ See :ref:`integer_na` for more.
 
 Datetimes
 ---------
+.. note::
+   If you are adding type checking to your application, you may need access to ``NaTType`` and ``NAType``.
 
 For datetime64[ns] types, ``NaT`` represents missing values. This is a pseudo-native
 sentinel value that can be represented by NumPy in a singular dtype (datetime64[ns]).