DOC: whatsnew edits

Author: jreback

doc/source/release.rst

@@ -40,13 +40,16 @@ analysis / manipulation tool available in any language.
 pandas 0.17.1
 -------------
 
-**Release date:** (November ??, 2015)
+**Release date:** (November 21, 2015)
 
 This is a minor release from 0.17.0 and includes a large number of bug fixes
 along with several new features, enhancements, and performance improvements.
 
 Highlights include:
 
+- Bug in ``DataFrame.drop_duplicates`` was a regression from 0.16.2, causing incorrect results on integer values (:issue:`11376`)
+- Releasing the GIL on the csv reader & other ops, see :ref:`here <whatsnew_0171.performance>`
+
 See the :ref:`v0.17.1 Whatsnew <whatsnew_0171>` overview for an extensive list
 of all enhancements and bugs that have been fixed in 0.17.1.
 

doc/source/whatsnew/v0.17.1.txt

@@ -1,13 +1,15 @@
 .. _whatsnew_0171:
 
-v0.17.1 (November ??, 2015)
+v0.17.1 (November 21, 2015)
 ---------------------------
 
 This is a minor bug-fix release from 0.17.0 and includes a large number of
 bug fixes along several new features, enhancements, and performance improvements.
 We recommend that all users upgrade to this version.
 
 Highlights include:
+  - Bug in ``DataFrame.drop_duplicates`` was a regression from 0.16.2, causing incorrect results on integer values (:issue:`11376`)
+  - Releasing the GIL on the csv reader & other ops, see :ref:`here <whatsnew_0171.performance>`
 
 .. contents:: What's new in v0.17.1
     :local:
@@ -27,7 +29,7 @@ Enhancements
 - Improve the error message displayed in :func:`pandas.io.gbq.to_gbq` when the DataFrame does not match the schema of the destination table (:issue:`11359`)
 - Added ``axvlines_kwds`` to parallel coordinates plot (:issue:`10709`)
 
-- Option to ``.info()`` and ``.memory_usage()`` to provide for deep introspection of memory consumption. Note that this can be expensive to compute and therefore is an optional parameter. (:issue:``11595``)
+- Option to ``.info()`` and ``.memory_usage()`` to provide for deep introspection of memory consumption. Note that this can be expensive to compute and therefore is an optional parameter. (:issue:`11595`)
 
   .. ipython:: python
 
@@ -83,7 +85,7 @@ Performance Improvements
 
 
 - Release the GIL on most datetime field operations (e.g. ``DatetimeIndex.year``, ``Series.dt.year``), normalization, and conversion to and from ``Period``, ``DatetimeIndex.to_period`` and ``PeriodIndex.to_timestamp`` (:issue:`11263`)
-- Release the GIL on some srolling algos (``rolling_median``, ``rolling_mean``, ``rolling_max``, ``rolling_min``, ``rolling_var``, ``rolling_kurt``, ``rolling_skew`` (:issue:`11450`)
+- Release the GIL on some rolling algos (``rolling_median``, ``rolling_mean``, ``rolling_max``, ``rolling_min``, ``rolling_var``, ``rolling_kurt``, ``rolling_skew`` (:issue:`11450`)
 - Release the GIL when reading and parsing text files in ``read_csv``, ``read_table`` (:issue:`11272`)
 - Improved performance of ``rolling_median`` (:issue:`11450`)
 
@@ -119,7 +121,7 @@ Bug Fixes
 - Bug in ``pivot_table`` with ``margins=True`` when indexes are of ``Categorical`` dtype (:issue:`10993`)
 - Bug in ``DataFrame.plot`` cannot use hex strings colors (:issue:`10299`)
 
-- Bug in ``DataFrame.drop_duplicates`` (regression from 0.16.2) causing some non-duplicate rows containing integer values to be dropped (:issue:`11376`)
+- Bug in ``DataFrame.drop_duplicates`` was a regression from 0.16.2, causing incorrect results on integer values (:issue:`11376`)
 
 
 - Bug in ``pd.eval`` where unary ops in a list error (:issue:`11235`)