diff --git a/Doc/library/collections.rst b/Doc/library/collections.rst
index fdfdefe..f1a8fff 100644
--- a/Doc/library/collections.rst
+++ b/Doc/library/collections.rst
@@ -397,8 +397,8 @@
    method which lists the tuple contents in a ``name=value`` format.
 
    The *fieldnames* are a single string with each fieldname separated by whitespace
-   and/or commas (for example 'x y' or 'x, y').  Alternatively, *fieldnames*
-   can be a sequence of strings (such as ['x', 'y']).
+   and/or commas, for example ``'x y'`` or ``'x, y'``.  Alternatively, *fieldnames*
+   can be a sequence of strings such as ``['x', 'y']``.
 
    Any valid Python identifier may be used for a fieldname except for names
    starting with an underscore.  Valid identifiers consist of letters, digits,
@@ -406,7 +406,7 @@
    a :mod:`keyword` such as *class*, *for*, *return*, *global*, *pass*, *print*,
    or *raise*.
 
-   If *verbose* is true, will print the class definition.
+   If *verbose* is true, the class definition is printed just before being built.
 
    Named tuple instances do not have per-instance dictionaries, so they are
    lightweight and require no more memory than regular tuples.
@@ -533,7 +533,7 @@
     >>> getattr(p, 'x')
     11
 
-To cast a dictionary to a named tuple, use the double-star-operator [#]_::
+To convert a dictionary to a named tuple, use the double-star-operator [#]_::
 
    >>> d = {'x': 11, 'y': 22}
    >>> Point(**d)
@@ -544,23 +544,24 @@
 a fixed-width print format::
 
     >>> class Point(namedtuple('Point', 'x y')):
+    ...     __slots__ = ()
     ...     @property
     ...     def hypot(self):
     ...         return (self.x ** 2 + self.y ** 2) ** 0.5
     ...     def __str__(self):
-    ...         return 'Point: x=%6.3f y=%6.3f hypot=%6.3f' % (self.x, self.y, self.hypot)
+    ...         return 'Point: x=%6.3f  y=%6.3f  hypot=%6.3f' % (self.x, self.y, self.hypot)
 
-    >>> for p in Point(3,4), Point(14,5), Point(9./7,6):
+    >>> for p in Point(3, 4), Point(14, 5/7.):
     ...     print(p)
 
-    Point: x= 3.000 y= 4.000 hypot= 5.000
-    Point: x=14.000 y= 5.000 hypot=14.866
-    Point: x= 1.286 y= 6.000 hypot= 6.136
+    Point: x= 3.000  y= 4.000  hypot= 5.000
+    Point: x=14.000  y= 0.714  hypot=14.018
 
 Another use for subclassing is to replace performance critcal methods with
-faster versions that bypass error-checking and that localize variable access::
+faster versions that bypass error-checking::
 
     class Point(namedtuple('Point', 'x y')):
+        __slots__ = ()
         _make = classmethod(tuple.__new__)
         def _replace(self, _map=map, **kwds):
             return self._make(_map(kwds.get, ('x', 'y'), self))
@@ -569,7 +570,7 @@
 Subclassing is not useful for adding new, stored fields.  Instead, simply
 create a new named tuple type from the :attr:`_fields` attribute::
 
-    >>> Pixel = namedtuple('Pixel', Point._fields + Color._fields)
+    >>> Point3D = namedtuple('Point3D', Point._fields + ('z',))
 
 Default values can be implemented by using :meth:`_replace` to
 customize a prototype instance::