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SQLAlchemy: Database Access Using Python by Mark Ramm, Michael Bayer

• SQLAlchemy: Database Access Using Python
• Mark Ramm, Michael Bayer
• Page: 504
• Format: pdf, ePub, mobi, fb2
• ISBN: 9780132364676
• Publisher: Addison-Wesley

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SQLAlchemy 0.9.7 : Python Package Index Database Abstraction Library. Major SQLAlchemy features include: and can be loaded on individual access, all at once using joins, or by  Amazon.com: SQLAlchemy: Database Access Using Python Amazon.com: SQLAlchemy: Database Access Using Python (Developer's Library ) (9780132364676): Mark Ramm, Michael Bayer: Books. SQLAlchemy 0.5.8 : Python Package Index Database Abstraction Library. persistence patterns, designed for efficient and high-performing database access, adapted into a simple and for all literal values, fully transactionalized and consistent updates using Unit of Work. modular. SQLAlchemy: Database Access Using Python: Mark Ramm, Michael SQLAlchemy: Database Access Using Python: Mark Ramm, Michael Bayer: 9780132364676: Books - Amazon.ca. Connections / Engines — SQLAlchemy 1.1 Documentation I am using multiple connections with a SQLite database (typically to test transaction How do I get at the raw DBAPI connection when using an Engine? How do I use engines / connections / sessions with Python multiprocessing, or os .fork()? Describing Databases with MetaData - SQLAlchemy Documentation It supports a few methods of accessing these table objects, such as the . ofdatabase schemas in relation to application code using schema migration tools. . A scalar, Python callable, or ClauseElement representing a default value to be   Oracle — SQLAlchemy 1.1 Documentation This step is also required when using table reflection, i.e. autoload=True: The Oracle database supports a limited form of RETURNING, in order to retrieve result disabled when using cx_oracle, i.e. SQLAlchemy encodes all Python unicode objects to .. threaded - enable multithreaded access to cx_oracle connections.

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