From f0d2ed73ac6fff027dd5f309a3979e26beca7be9 Mon Sep 17 00:00:00 2001 From: Georg Brandl Date: Fri, 31 Oct 2014 09:29:38 +0100 Subject: [PATCH] minor grammar fixes (from docs@python.org) --- Doc/tutorial/classes.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Doc/tutorial/classes.rst b/Doc/tutorial/classes.rst index e318c09b56b..7e014eff38f 100644 --- a/Doc/tutorial/classes.rst +++ b/Doc/tutorial/classes.rst @@ -869,7 +869,7 @@ Generators :term:`Generator`\s are a simple and powerful tool for creating iterators. They are written like regular functions but use the :keyword:`yield` statement whenever they want to return data. Each time :func:`next` is called on it, the -generator resumes where it left-off (it remembers all the data values and which +generator resumes where it left off (it remembers all the data values and which statement was last executed). An example shows that generators can be trivially easy to create:: @@ -887,7 +887,7 @@ easy to create:: o g -Anything that can be done with generators can also be done with class based +Anything that can be done with generators can also be done with class-based iterators as described in the previous section. What makes generators so compact is that the :meth:`__iter__` and :meth:`~generator.__next__` methods are created automatically.