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| author | Raymond Hettinger <python@rcn.com> | 2010-12-04 23:42:12 (GMT) |
|---|---|---|
| committer | Raymond Hettinger <python@rcn.com> | 2010-12-04 23:42:12 (GMT) |
| commit | 6e35394ed5f01bd7b06a3366cadaeb8f765851ef (patch) | |
| tree | 1bc948ae4bd739d65f2ece8d83015222eae6a43d | |
| parent | 6f04adc54b224eae6be563413ddb995e25c3eb22 (diff) | |
| download | cpython-6e35394ed5f01bd7b06a3366cadaeb8f765851ef.zip cpython-6e35394ed5f01bd7b06a3366cadaeb8f765851ef.tar.gz cpython-6e35394ed5f01bd7b06a3366cadaeb8f765851ef.tar.bz2 | |
Mention itertools.accumulate().
| -rw-r--r-- | Doc/library/random.rst | 1 | ||||
| -rw-r--r-- | Doc/whatsnew/3.2.rst | 19 |
2 files changed, 19 insertions, 1 deletions
diff --git a/Doc/library/random.rst b/Doc/library/random.rst index ba369e1..33ab5e5 100644 --- a/Doc/library/random.rst +++ b/Doc/library/random.rst @@ -274,6 +274,7 @@ change across Python versions, but two aspects are guaranteed not to change: * The generator's :meth:`random` method will continue to produce the same sequence when the compatible seeder is given the same seed. +.. _random-examples: Examples and Recipes ==================== diff --git a/Doc/whatsnew/3.2.rst b/Doc/whatsnew/3.2.rst index 6e1daf9..3c913a1 100644 --- a/Doc/whatsnew/3.2.rst +++ b/Doc/whatsnew/3.2.rst @@ -405,7 +405,8 @@ New, Improved, and Deprecated Modules >>> get_phone_number.cache_clear() - (Contributed by Raymond Hettinger.) + (Contributed by Raymond Hettinger and incorporating design ideas from + Jim Baker, Miki Tebeka, and Nick Coglan.) * The :func:`functools.wraps` decorator now adds a :attr:`__wrapped__` attribute pointing to the original callable function. This allows wrapped functions to @@ -416,6 +417,22 @@ New, Improved, and Deprecated Modules (By Nick Coghlan and Terrence Cole; :issue:`9567`, :issue:`3445`, and :issue:`8814`.) +* The :mod:`itertools` module has a new function, :func:`~itertools.accumulate` + modeled on APL's *scan* and on Numpy's *accumulate* function: + + >>> list(accumulate(8, 2, 50)) + [8, 10, 60] + + >>> prob_dist = [0.1, 0.4, 0.2, 0.3] + >>> list(accumulate(prob_dist)) # cumulative probability distribution + [0.1, 0.5, 0.7, 1.0] + + For an example using :func:`~itertools.accumulate`, see the :ref:`examples for + the random module <random-examples>`. + + (Contributed by Raymond Hettinger and incorporating design suggestions + from Mark Dickinson.) + * The :mod:`nntplib` module gets a revamped implementation with better bytes / unicode semantics as well as more practical APIs. These improvements break compatibility with the nntplib version in Python 3.1, which was |