Add some cross-references to the docs. Simplify the python code equivalent for zip(). Supply an optional argument for the nth() recipe.
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@ -380,6 +380,9 @@ are always available. They are listed here in alphabetical order.
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not ``None`` and ``(item for item in iterable if item)`` if function is
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``None``.
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See :func:`itertools.filterfalse` for the complementary function that returns
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elements of *iterable* for which *function* returns false.
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.. function:: float([x])
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@ -595,7 +598,8 @@ are always available. They are listed here in alphabetical order.
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yielding the results. If additional *iterable* arguments are passed,
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*function* must take that many arguments and is applied to the items from all
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iterables in parallel. With multiple iterables, the iterator stops when the
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shortest iterable is exhausted.
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shortest iterable is exhausted. For cases where the function inputs are
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already arranged into argument tuples, see :func:`itertools.starmap`\.
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.. function:: max(iterable[, args...], *[, key])
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@ -953,7 +957,8 @@ are always available. They are listed here in alphabetical order.
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default). They have no other explicit functionality; however they are used by
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Numerical Python and other third party extensions. Slice objects are also
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generated when extended indexing syntax is used. For example:
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``a[start:stop:step]`` or ``a[start:stop, i]``.
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``a[start:stop:step]`` or ``a[start:stop, i]``. See :func:`itertools.islice`
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for an alternate version that returns an iterator.
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.. function:: sorted(iterable[, key[, reverse]])
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@ -1030,7 +1035,8 @@ are always available. They are listed here in alphabetical order.
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Sums *start* and the items of an *iterable* from left to right and returns the
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total. *start* defaults to ``0``. The *iterable*'s items are normally numbers,
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and are not allowed to be strings. The fast, correct way to concatenate a
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sequence of strings is by calling ``''.join(sequence)``.
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sequence of strings is by calling ``''.join(sequence)``. To add floating
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point values with extended precision, see :func:`math.fsum`\.
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.. function:: super([type[, object-or-type]])
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@ -1145,8 +1151,7 @@ are always available. They are listed here in alphabetical order.
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# zip('ABCD', 'xy') --> Ax By
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iterables = map(iter, iterables)
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while iterables:
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result = [it.next() for it in iterables]
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yield tuple(result)
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yield tuple(map(next, iterables))
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The left-to-right evaluation order of the iterables is guaranteed. This
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makes possible an idiom for clustering a data series into n-length groups
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@ -615,9 +615,9 @@ which incur interpreter overhead.
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"Return function(0), function(1), ..."
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return map(function, count(start))
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def nth(iterable, n):
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"Returns the nth item or None"
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return next(islice(iterable, n, None), None)
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def nth(iterable, n, default=None):
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"Returns the nth item or a default value"
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return next(islice(iterable, n, None), default)
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def quantify(iterable, pred=bool):
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"Count how many times the predicate is true"
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@ -1419,9 +1419,9 @@ Samuele
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... "Return function(0), function(1), ..."
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... return map(function, count(start))
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>>> def nth(iterable, n):
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... "Returns the nth item or None"
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... return next(islice(iterable, n, None), None)
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>>> def nth(iterable, n, default=None):
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... "Returns the nth item or a default value"
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... return next(islice(iterable, n, None), default)
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>>> def quantify(iterable, pred=bool):
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... "Count how many times the predicate is true"
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