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author | Raymond Hettinger <python@rcn.com> | 2004-07-10 16:11:03 (GMT) |
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committer | Raymond Hettinger <python@rcn.com> | 2004-07-10 16:11:03 (GMT) |
commit | 21f9fce968624fd25c95dc408cfd51614021ea17 (patch) | |
tree | b23c439690d2c2795b143f0bc8cd50b7892d4257 /Doc/tut | |
parent | 099bd524a4959f8cb7f4de2a24b73b7ae4505c8d (diff) | |
download | cpython-21f9fce968624fd25c95dc408cfd51614021ea17.zip cpython-21f9fce968624fd25c95dc408cfd51614021ea17.tar.gz cpython-21f9fce968624fd25c95dc408cfd51614021ea17.tar.bz2 |
Fix typo.
Diffstat (limited to 'Doc/tut')
-rw-r--r-- | Doc/tut/tut.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/Doc/tut/tut.tex b/Doc/tut/tut.tex index 7472082..b57aebe 100644 --- a/Doc/tut/tut.tex +++ b/Doc/tut/tut.tex @@ -4365,7 +4365,7 @@ s Generators 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 the \method{next()} is called, the +they want to return data. Each time \method{next()} is called, the 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: |