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

SQLAlchemy: Database Access Using Python

ISBN: 9780132364676 | 504 pages | 13 Mb

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

Essential SQLAlchemy: Mapping Python to Databases, 2nd ...
Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite. Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata. SQLAlchemy: Database Access Using Python by Mark Ramm ...
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SQLAlchemy: Database Access Using Python by Mark Ramm, Michael Bayer Free electronic book for iPad download An Unacceptable Offer in English DJVU MOBI by Mary Balogh Audio book downloads for ipod Night Fall iBook ePub DJVU by Simon R. Green Database helpers — SQLAlchemy-Utils 0.33.9 documentation
create_database¶ sqlalchemy_utils.functions.create_database (url, encoding='utf8', Generate a SQL expression from the passed python expression. Only the global variable, engine, is available for use in the expression. Additional local variables may be passed in the context parameter. pdf htmlzip epub On Read the Docs SqlAlchemy: Connecting to pre-existing databases - The ...
Accessing databases with Python is a simple process. Python even provides a sqlite database library that’s built into the main distribution (since 2.5). My favorite way to access databases with Python is to use the 3rd party package, SqlAlchemy. SqlAlchemy is an object-relational mapper (ORM), which means that it takes SQL constructs and makes them … Essential Sqlalchemy Mapping Python To Databases PDF EPUB ...
CherryPy installation using tarball, egg, and subversion .The CherryPy library in depth: its design and how to use it .Using CherryPy with common Python and non-Python products .Object Relational Mapping with SQLObject, SQLAlchemy, and Dejavu .Web Services via REST and the Atom Publishing Protocol .AJAX and client-side scripting via MochiKit .Unit, functional, and load testing .CherryPy, Apache, and lighttpd deployment solurions The book starts with two chapters dedicated to CherryPy itself

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