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| author | Mike Bayer <mike_mp@zzzcomputing.com> | 2010-04-23 00:33:50 -0400 |
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| committer | Mike Bayer <mike_mp@zzzcomputing.com> | 2010-04-23 00:33:50 -0400 |
| commit | 085cb74edfbcfbb95a6c10f702aa717d997ea395 (patch) | |
| tree | 131233244ab88c074aa08840a2ecd290356390ce /setup.py | |
| parent | 88773096645736e3957594f4b50cd446f344fd37 (diff) | |
| parent | ae495c69adacdd341d4ab22df4eedbbc6cb9df8e (diff) | |
| download | sqlalchemy-085cb74edfbcfbb95a6c10f702aa717d997ea395.tar.gz | |
merge
Diffstat (limited to 'setup.py')
| -rw-r--r-- | setup.py | 3 |
1 files changed, 0 insertions, 3 deletions
@@ -117,9 +117,6 @@ SQLAlchemy's Advantages: * Data mapping can be used in a row-based manner. Any bizarre hyper-optimized query that you or your DBA can cook up, you can run in SQLAlchemy, and as long as it returns the expected columns within a rowset, you can get your objects from it. For a rowset that contains more than one kind of object per row, multiple mappers can be chained together to return multiple object instance lists from a single database round trip. * The type system allows pre- and post- processing of data, both at the bind parameter and the result set level. User-defined types can be freely mixed with built-in types. Generic types as well as SQL-specific types are available. -SVN version: -<http://svn.sqlalchemy.org/sqlalchemy/trunk#egg=SQLAlchemy-dev> - """, classifiers = [ "Development Status :: 5 - Production/Stable", |