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

SQLAlchemy: Database Access Using Python

ISBN: 9780132364676 | 504 pages | 13 Mb

Download SQLAlchemy: Database Access Using Python

SQLAlchemy: Database Access Using Python Mark Ramm, Michael Bayer
Publisher: Addison-Wesley

I will address this only in terms of database access. 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. Introduction to SQLAlchemy - Pycon 2013 - Wrapup . Creating and populating a database using Python and SQLalchemy. Connection is a SQLAlchemy Connection object. Next, my favorite: SQLAlchemy lets us access the columns as if they were . 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. JDBC is the standard platform for database access in Java. SQLite connects to file-based databases, using the Python built-in module sqlite3 usually a string that indicates database dialect and connection arguments:. Buy SQLAlchemy: Database Access Using Python book by Mark Ramm Trade Paperback at Chapters.Indigo.ca, Canada's largest book retailer. SQLAlchemy: Database Access Using Python: Mark Ramm, Michael Bayer: 9780132364676: Books - Amazon.ca. Buy SQLAlchemy: Database Access Using Python (Developer's Library) by (ISBN : 9780132364676) from Amazon's Book Store. No matter what database you're using, the create_engine() function takes a single . The engine can be used directly to issue SQL to the database.

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