``iterutils`` - ``itertools`` improvements
==========================================

.. automodule:: boltons.iterutils

.. _iteration:

Iteration
---------

These are generators and convenient :class:`list`-producing
counterparts comprising several common patterns of iteration not
present in the standard library.

.. autofunction:: split
.. autofunction:: split_iter
.. autofunction:: chunked
.. autofunction:: chunked_iter
.. autofunction:: pairwise
.. autofunction:: pairwise_iter
.. autofunction:: windowed
.. autofunction:: windowed_iter
.. autofunction:: unique
.. autofunction:: unique_iter

Nested
------

Nested data structures are common. Yet virtually all of Python's
compact iteration tools work with flat data: list comprehensions,
map/filter, generator expressions, itertools, even other
iterutils.

The functions below make working with nested iterables and other
containers as succinct and powerful as Python itself.

.. autofunction:: remap

Numeric
-------

Number sequences are an obvious target of Python iteration, such as
the built-in :func:`range`, :func:`xrange`, and
:func:`itertools.count`. Like the :ref:`iteration` members above,
these return iterators and lists, but take numeric inputs instead of
iterables.

.. autofunction:: backoff
.. autofunction:: backoff_iter
.. autofunction:: frange
.. autofunction:: xfrange


Categorization
--------------

These functions operate on iterables, dividing into groups based on a
given condition.

.. autofunction:: bucketize
.. autofunction:: partition
.. autofunction:: one
.. autofunction:: first


Type Checks
-----------

In the same vein as the feature-checking builtin, :func:`callable`.

.. autofunction:: is_iterable
.. autofunction:: is_scalar
.. autofunction:: is_collection