Ubuntu
sqlalchemy package

sqlalchemy 0.8.3-1 source package in Ubuntu

Changelog

sqlalchemy (0.8.3-1) unstable; urgency=low


  * New upstream release

 -- Piotr Ożarowski <email address hidden>  Mon, 28 Oct 2013 22:29:40 +0100

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

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sqlalchemy_0.8.3-1.dsc 2.3 KiB 925cfc78d1fdc78a3cd15dff655a749e6614aaed4c8bae5cd4a5196ebeff23ca
sqlalchemy_0.8.3.orig.tar.gz 3.7 MiB 80702cd95ade2d31d018e27accd4a75afb5b82e1b77b206c4ea463378c08197b
sqlalchemy_0.8.3-1.debian.tar.gz 10.2 KiB 9fb93ade47cd9b1a07f8c1a7faa12b80c117b5f19bfdefd9c37e7f3e62293811

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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.