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authorGeorg Brandl <georg@python.org>2007-10-21 10:52:38 +0000
committerGeorg Brandl <georg@python.org>2007-10-21 10:52:38 +0000
commitcf3fb259329eedfa9d2c802b2ea5ced287c21e78 (patch)
treebd09350c4ac4d66064526573c19ebbcd27f77279 /Doc/library/itertools.rst
parentbb75e4e5d243a32cf31b91543b06b829c63e2c70 (diff)
downloadcpython-git-cf3fb259329eedfa9d2c802b2ea5ced287c21e78.tar.gz
Add :term: for generators.
Diffstat (limited to 'Doc/library/itertools.rst')
-rw-r--r--Doc/library/itertools.rst4
1 files changed, 2 insertions, 2 deletions
diff --git a/Doc/library/itertools.rst b/Doc/library/itertools.rst
index 93e62f657a..e150070697 100644
--- a/Doc/library/itertools.rst
+++ b/Doc/library/itertools.rst
@@ -460,8 +460,8 @@ The superior memory performance is kept by processing elements one at a time
rather than bringing the whole iterable into memory all at once. Code volume is
kept small by linking the tools together in a functional style which helps
eliminate temporary variables. High speed is retained by preferring
-"vectorized" building blocks over the use of for-loops and generators which
-incur interpreter overhead. ::
+"vectorized" building blocks over the use of for-loops and :term:`generator`\s
+which incur interpreter overhead. ::
def take(n, seq):
return list(islice(seq, n))