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

Download SQLAlchemy: Database Access Using Python

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

SQLAlchemy is a set of tools for working with databases using Python. JDBC is the standard platform for database access in Java. There are SQLAlchemy Core; good mix of SQL and Python. Threaded - enable multithreaded access to cx_oracle connections. Queries much more complicated than writing straight SQL or using SQLAlchemy. Next, my favorite: SQLAlchemy lets us access the columns as if they were . You can alsoaccess results using the Column objects directly as keys. No matter what database you're using, the create_engine() function takes a single . Autoload=True: The Oracle database supports a limited form of RETURNING, in order to retrieve result disabled when using cx_oracle, i.e. Python ORM libraries are not required for accessing relational databases. This step is also required when using table reflection, i.e. "SQLAlchemy is arguably the best library for using relational databases fromPython," Copeland says. In this chapter we'll focus on using SQLAlchemy with Jython, as well as using Java technologies The zxJDBC package provides an easy-to-use Python wrapper around JDBC. I already have an existing Database that has a lot of tables and a lot of data in You need to get used to your existing database and how to access it fromSQLAlchemy. Usr/bin/python # -*- mode: python -*- from sqlalchemy import of my example into a controller (e.g. SQLAlchemy encodes all Python unicode objects to ..

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