Prepare version info, CHANGELOG, and README for version 0.9.2 release.

CHANGELOG

@@ -2,11 +2,10 @@
 Datatest Changelog
 ==================
 
-COMING SOON (0.9.2)
--------------------
+2018-08-08 (0.9.2)
+------------------
 
-* Improved data handling features and Python 3.7 support.
-* Changed Selector class keyword filtering to support predicate matching.
+* Improved data handling features and support for Python 3.7.
 * Changed Query class:
     * Added flatten() method to serialize dictionary results.
     * Added to_csv() method to quickly save results as a CSV file.
@@ -15,13 +14,14 @@ COMING SOON (0.9.2)
     * Changed filter() method to support predicate matching.
 * Added True and False as predicates to support "truth value testing" on
   arbitrary objects (to match on truthy or falsy).
-* Fixed get_reader() bug that prevented encoding-fallback recovery when
-  reading from StringIO buffers in Python 2.
-* Added handling to get_reader() to support datatest's Selector and Result
-  objects.
 * Added ProxyGroup class for performing the same operations on groups of
-  objects at the same time (a common need when comparing against reference
+  objects at the same time (a common need when testing against reference
   data).
+* Changed Selector class keyword filtering to support predicate matching.
+* Added handling to get_reader() to support datatest's Selector and Result
+  objects.
+* Fixed get_reader() bug that prevented encoding-fallback recovery when
+  reading from StringIO buffers in Python 2.
 
 
 2018-06-21 (0.9.1)

README.rst

@@ -14,9 +14,10 @@ datatest: Testing tools for data validation and analysis
 Datatest provides testing tools for data validation and analysis.
 It supports both pytest_ and unittest_ style testing.
 
-You can use datatest for validation, data-wrangling, auditing,
-logging discrepancies, and checklists for measuring progress.
-It encourages a structured approach for checking and tidying data.
+You can use datatest for validation, test driven data-wrangling,
+auditing, logging discrepancies, and checklists for measuring
+progress. It encourages a structured approach for checking and
+tidying data.
 
 Datatest has no hard dependencies; supports Python 2.6, 2.7,
 3.1 through 3.7, PyPy, and PyPy3; and is freely available under

datatest/__init__.py

@@ -28,6 +28,6 @@
 Query.__module__ = 'datatest'
 Result.__module__ = 'datatest'
 
-__version__ = '0.9.2.dev0'
+__version__ = '0.9.2'
 
 required = mandatory  # Temporary alias for old "required" decorator.

docs/conf.py

@@ -66,7 +66,7 @@
 #
 # The short X.Y version.
 #from datatest import __version__
-__version__ = '0.9.2.dev0'
+__version__ = '0.9.2'
 version = __version__
 
 # The full version, including alpha/beta/rc tags.