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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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Essential SQLAlchemy--New from O'Reilly: Mapping Python to "SQLAlchemy is arguably the best library for using relational databases fromPython," Copeland says. "In comparison with SQLAlchemy, one popular competing  A step-by-step SQLAlchemy tutorial No matter what database you're using, the create_engine() function takes a single . Next, my favorite: SQLAlchemy lets us access the columns as if they were . In Python, the & (and), | (or), and ~ (not) operators have a higher priority than  Buy SQLAlchemy: Database Access Using Python (Developer's Amazon.in - Buy SQLAlchemy: Database Access Using Python (Developer's Library) book online at best prices in India on Amazon.in. Read SQLAlchemy:  Chapter 7: Introducing the Model and SQLAlchemy — Pylons Book You might want to turn the access and modification times into Python datetime . If you are considering using an object database, you should weigh this against  Database Access Using Python by Michael Bayer and Mark - eBay Details Synopsis The definitive guide to database access with the SQLAlchemyPython library - co-authored by SQLAlchemy's creator! Demystifies the problem  SQLAlchemy 0.7.6 : Python Package Index Database Abstraction Library. Collections are fully cached within a session, and can be loaded on individual access, all at once using joins, or by query per  SQLAlchemy 0.8.3 : Python Package Index Database Abstraction Library. Major SQLAlchemy features include: and can be loaded on individual access, all at once using joins, or by  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.

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