sqlalchemy 0.8.4-1 source package in Ubuntu

Changelog

sqlalchemy (0.8.4-1) unstable; urgency=medium


  * New upstream release

 -- Piotr Ożarowski <email address hidden>  Mon, 09 Dec 2013 23:26:28 +0100

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Uploaded by:
Piotr Ożarowski
Uploaded to:
Sid
Original maintainer:
Piotr Ożarowski
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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sqlalchemy_0.8.4-1.dsc 2.3 KiB 9d2add4e37fc8cf74f5fc04af7424f384dfee2dbfc7619427a8d40f8c10983e4
sqlalchemy_0.8.4.orig.tar.gz 3.7 MiB 92646ef7567d85d42ad7abf4ccc4327d664d32d4e9e4fd8a241f865c639a98c0
sqlalchemy_0.8.4-1.debian.tar.gz 10.3 KiB 3bd8d8872db08eda8e3abe4212e5f7ca03d627facd82211a1803daf02d103192

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Binary packages built by this source

python-sqlalchemy: SQL toolkit and Object Relational Mapper for Python

 SQLAlchemy is an SQL database abstraction library for Python.
 Its strengths are:
  * full power and flexibility of SQL. SQLAlchemy provides a full suite
    of well known enterprise-level persistence patterns, designed for
    efficient and high-performing database access, adapted into a simple
    and Pythonic domain language.
  * extremely easy to use for all the basic tasks, such as: accessing pooled
    connections, constructing SQL from Python expressions, finding object
    instances, and committing object modifications back to the database.
  * powerful enough for complicated tasks, such as: eager load a graph of
    objects and their dependencies via joins; map recursive adjacency
    structures automatically; map objects to not just tables but to any
    arbitrary join or select statement; combine multiple tables together to
    load whole sets of otherwise unrelated objects from a single result set;
    commit entire graphs of object changes in one step.
  * built to conform to what DBAs demand, including the ability to swap out
    generated SQL with hand-optimized statements, full usage of bind parameters
    for all literal values, fully transactionalized and consistent updates
    using Unit of Work.
  * modular. Different parts of SQLAlchemy can be used independently of the
    rest, including the connection pool, SQL construction, and ORM. SQLAlchemy
    is constructed in an open style that allows plenty of customization, with
    an architecture that supports custom datatypes, custom SQL extensions, and
    ORM plugins which can augment or extend mapping functionality.

python-sqlalchemy-doc: documentation for the SQLAlchemy Python library

 SQLAlchemy is an SQL database abstraction library for Python.
 .
 This package contains the documentation for SQLAlchemy in HTML format.
 It's usable as a comprehensive reference, a user guide and a tutorial
 all-in-one.

python-sqlalchemy-ext: SQL toolkit and Object Relational Mapper for Python - C extension

 SQLAlchemy is an SQL database abstraction library for Python.
 .
 This package contains C coded extension accelerator for SQLAlchemy.

python3-sqlalchemy: SQL toolkit and Object Relational Mapper for Python 3

 SQLAlchemy is an SQL database abstraction library for Python.
 Its strengths are:
  * full power and flexibility of SQL. SQLAlchemy provides a full suite
    of well known enterprise-level persistence patterns, designed for
    efficient and high-performing database access, adapted into a simple
    and Pythonic domain language.
  * extremely easy to use for all the basic tasks, such as: accessing pooled
    connections, constructing SQL from Python expressions, finding object
    instances, and committing object modifications back to the database.
  * powerful enough for complicated tasks, such as: eager load a graph of
    objects and their dependencies via joins; map recursive adjacency
    structures automatically; map objects to not just tables but to any
    arbitrary join or select statement; combine multiple tables together to
    load whole sets of otherwise unrelated objects from a single result set;
    commit entire graphs of object changes in one step.
  * built to conform to what DBAs demand, including the ability to swap out
    generated SQL with hand-optimized statements, full usage of bind parameters
    for all literal values, fully transactionalized and consistent updates
    using Unit of Work.
  * modular. Different parts of SQLAlchemy can be used independently of the
    rest, including the connection pool, SQL construction, and ORM. SQLAlchemy
    is constructed in an open style that allows plenty of customization, with
    an architecture that supports custom datatypes, custom SQL extensions, and
    ORM plugins which can augment or extend mapping functionality.