Minor doc fixes.

Doc/glossary.rst

@@ -393,7 +393,7 @@ Glossary
       also :term:`immutable`.
 
    named tuple
-      Any tuple subclass whose indexable elements are also accessible using
+      Any tuple-like class whose indexable elements are also accessible using
       named attributes (for example, :func:`time.localtime` returns a
       tuple-like object where the *year* is accessible either with an
       index such as ``t[0]`` or with a named attribute like ``t.tm_year``).

Doc/library/collections.rst

@@ -206,7 +206,7 @@ For example::
    .. method:: most_common([n])
 
       Return a list of the *n* most common elements and their counts from the
-      most common to the least.  If *n* not specified, :func:`most_common`
+      most common to the least.  If *n* is not specified, :func:`most_common`
       returns *all* elements in the counter.  Elements with equal counts are
       ordered arbitrarily::
 

Doc/library/itertools.rst

@@ -290,7 +290,7 @@ loops that truncate the stream.
 
       class groupby(object):
           # [k for k, g in groupby('AAAABBBCCDAABBB')] --> A B C D A B
-          # [(list(g)) for k, g in groupby('AAAABBBCCD')] --> AAAA BBB CC D
+          # [list(g) for k, g in groupby('AAAABBBCCD')] --> AAAA BBB CC D
           def __init__(self, iterable, key=None):
               if key is None:
                   key = lambda x: x
@@ -591,8 +591,8 @@ which incur interpreter overhead.
        return map(function, count(start))
 
    def nth(iterable, n):
-       "Returns the nth item or empty list"
-       return list(islice(iterable, n, n+1))
+       "Returns the nth item or None"
+       return next(islice(iterable, n, None), None)
 
    def quantify(iterable, pred=bool):
        "Count how many times the predicate is true"

Lib/test/test_itertools.py

@@ -1371,8 +1371,8 @@ Samuele
 ...     return map(function, count(start))
 
 >>> def nth(iterable, n):
-...     "Returns the nth item or empty list"
-...     return list(islice(iterable, n, n+1))
+...     "Returns the nth item or None"
+...     return next(islice(iterable, n, None), None)
 
 >>> def quantify(iterable, pred=bool):
 ...     "Count how many times the predicate is true"
@@ -1469,7 +1469,10 @@ perform as purported.
 [0, 2, 4, 6]
 
 >>> nth('abcde', 3)
-['d']
+'d'
+
+>>> nth('abcde', 9) is None
+True
 
 >>> quantify(range(99), lambda x: x%2==0)
 50