Update docs w.r.t. PEP 3100 changes -- patch for GHOP by Dan Finnie.

Doc/tutorial/classes.rst

@@ -811,7 +811,7 @@ Examples::
    260
 
    >>> from math import pi, sin
-   >>> sine_table = dict((x, sin(x*pi/180)) for x in range(0, 91))
+   >>> sine_table = {x: sin(x*pi/180) for x in range(0, 91)}
 
    >>> unique_words = set(word  for line in page  for word in line.split())
 

Doc/tutorial/datastructures.rst

@@ -273,7 +273,7 @@ Here are some nested for loops and other fancy behavior::
 
 List comprehensions can be applied to complex expressions and nested functions::
 
-   >>> [str(round(355/113.0, i)) for i in range(1, 6)]
+   >>> [str(round(355/113, i)) for i in range(1, 6)]
    ['3.1', '3.14', '3.142', '3.1416', '3.14159']
 
 
@@ -437,6 +437,9 @@ Here is a brief demonstration::
    >>> fruit = set(basket)               # create a set without duplicates
    >>> fruit
    {'orange', 'pear', 'apple', 'banana'}
+   >>> fruit = {'orange', 'apple'}       # {} syntax is equivalent to [] for lists
+   >>> fruit
+   {'orange', 'apple'}
    >>> 'orange' in fruit                 # fast membership testing
    True
    >>> 'crabgrass' in fruit
@@ -457,6 +460,11 @@ Here is a brief demonstration::
    >>> a ^ b                              # letters in a or b but not both
    {'r', 'd', 'b', 'm', 'z', 'l'}
 
+Like for lists, there is a set comprehension syntax::
+
+   >>> a = {x for x in 'abracadabra' if x not in 'abc'}
+   >>> a
+   {'r', 'd'}
 
 
 
@@ -518,12 +526,12 @@ comprehensions can compactly specify the key-value list. ::
 
    >>> dict([('sape', 4139), ('guido', 4127), ('jack', 4098)])
    {'sape': 4139, 'jack': 4098, 'guido': 4127}
-   >>> dict([(x, x**2) for x in (2, 4, 6)])     # use a list comprehension
-   {2: 4, 4: 16, 6: 36}
 
-Later in the tutorial, we will learn about Generator Expressions which are even
-better suited for the task of supplying key-values pairs to the :func:`dict`
-constructor.
+In addition, dict comprehensions can be used to create dictionaries from
+arbitrary key and value expressions::
+
+   >>> {x: x**2 for x in (2, 4, 6)}
+   {2: 4, 4: 16, 6: 36}
 
 When the keys are simple strings, it is sometimes easier to specify pairs using
 keyword arguments::
@@ -532,9 +540,8 @@ keyword arguments::
    {'sape': 4139, 'jack': 4098, 'guido': 4127}
 
 
+.. XXX Find out the right way to do these DUBOIS
 .. _tut-loopidioms:
-.. % 
-   Find out the right way to do these DUBOIS
 
 Looping Techniques
 ==================

Doc/tutorial/stdlib.rst

@@ -121,7 +121,7 @@ The :mod:`math` module gives access to the underlying C library functions for
 floating point math::
 
    >>> import math
-   >>> math.cos(math.pi / 4.0)
+   >>> math.cos(math.pi / 4)
    0.70710678118654757
    >>> math.log(1024, 2)
    10.0
@@ -264,7 +264,7 @@ documentation::
        >>> print(average([20, 30, 70]))
        40.0
        """
-       return sum(values, 0.0) / len(values)
+       return sum(values) / len(values)
 
    import doctest
    doctest.testmod()   # automatically validate the embedded tests