Change documentation and update version.

CHANGELOG.md

@@ -3,6 +3,7 @@
 *The changelog has only been started with version 0.3.12, previous
 changes must be reconstructed from revision history.*
 
+* 0.5.4: Context manager for transactions, thanks to @victorkashirin.
 * 0.5.1: Fix a regression where empty queries would raise an exception.
 * 0.5: Improve overall code quality and testing, including Travis CI.
   An advanced __getitem__ syntax which allowed for the specification 

docs/quickstart.rst

@@ -67,15 +67,17 @@ particular value, just use the auto-generated ``id`` column.
 Using Transactions
 ------------------
 
-You can group a set of database updates within a transaction, thus all updates are
-committed at once or, in case of exception, all of them are reverted. Transactions are
-supported by ``dataset`` context manager, and initiated by ``with`` statement::
+You can group a set of database updates in a transaction. In that case, all updates
+are committed at once or, in case of exception, all of them are reverted. Transactions
+are supported through a context manager, so they can be used through a ``with``
+statement::
 
     with dataset.connect() as tx:
         tx['user'].insert(dict(name='John Doe', age=46, country='China'))
 
-You can get same functionality with datase methods :py:meth:`all() <dataset.Table.begin>`,
-:py:meth:`all() <dataset.Table.commit>` and :py:meth:`rollback() <dataset.Table.rollback>`::
+You can get same functionality by invocing the methods :py:meth:`begin() <dataset.Table.begin>`,
+:py:meth:`commit() <dataset.Table.commit>` and :py:meth:`rollback() <dataset.Table.rollback>`
+explicitly::
 
     db = dataset.connect()
     db.begin()
@@ -86,6 +88,7 @@ You can get same functionality with datase methods :py:meth:`all() <dataset.Tabl
         db.rollback()
 
 Nested transactions are supported too::
+
     db = dataset.connect()
     with db as tx1:
         tx1['user'].insert(dict(name='John Doe', age=46, country='China'))

setup.py

@@ -8,7 +8,7 @@ if sys.version_info[:2] <= (2, 6):
 
 setup(
     name='dataset',
-    version='0.5.3',
+    version='0.5.4',
     description="Toolkit for Python-based data processing.",
     long_description="",
     classifiers=[