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authorEzio Melotti <ezio.melotti@gmail.com>2013-01-05 05:36:54 (GMT)
committerEzio Melotti <ezio.melotti@gmail.com>2013-01-05 05:36:54 (GMT)
commit9beeefbb450529723c5c2673be2373324adcc077 (patch)
tree4bee3c0a27894f381ca5e665b7cbe26e9d0c1aff /Doc/faq/design.rst
parent19cdee891ed1320c7f6c6ec54df7d4c838bdc317 (diff)
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Cleanup a few minor things.
Diffstat (limited to 'Doc/faq/design.rst')
-rw-r--r--Doc/faq/design.rst6
1 files changed, 3 insertions, 3 deletions
diff --git a/Doc/faq/design.rst b/Doc/faq/design.rst
index 44931fd..30a0197 100644
--- a/Doc/faq/design.rst
+++ b/Doc/faq/design.rst
@@ -214,7 +214,7 @@ The major reason is history. Functions were used for those operations that were
generic for a group of types and which were intended to work even for objects
that didn't have methods at all (e.g. tuples). It is also convenient to have a
function that can readily be applied to an amorphous collection of objects when
-you use the functional features of Python (``map()``, ``apply()`` et al).
+you use the functional features of Python (``map()``, ``zip()`` et al).
In fact, implementing ``len()``, ``max()``, ``min()`` as a built-in function is
actually less code than implementing them as methods for each type. One can
@@ -707,7 +707,7 @@ of each call to the function, and return the cached value if the same value is
requested again. This is called "memoizing", and can be implemented like this::
# Callers will never provide a third parameter for this function.
- def expensive (arg1, arg2, _cache={}):
+ def expensive(arg1, arg2, _cache={}):
if (arg1, arg2) in _cache:
return _cache[(arg1, arg2)]
@@ -732,7 +732,7 @@ languages. For example::
try:
...
- if (condition): raise label() # goto label
+ if condition: raise label() # goto label
...
except label: # where to goto
pass