Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Preface Audience Assumptions This Book Makes Contents of This Book Conventions Used in This Book Using Code Examples How to Contact Us Acknowledgments Chapter 1: Introduction to SQLAlchemy 1.1 What Is SQLAlchemy 1.2 The Object/Relational 'Impedance Mismatch' 1.3 SQLAlchemy Philosophy 1.4 SQLAlchemy Architecture Chapter 2: Getting Started 2.1 Installing SQLAlchemy 2.2 SQLAlchemy Tutorial Chapter 3: Engines and MetaData 3.1 Engines and Connectables 3.2 MetaData Chapter 4: SQLAlchemy Type Engines 4.1 Type System Overview 4.2 Built-in Types 4.3 Application-Specific Custom Types Chapter 5: Running Queries and Updates 5.1 Inserts, Updates, and Deletes 5.2 Queries Chapter 6: Building an Object Mapper 6.1 Introduction to ORMs 6.2 Declaring Object Mappers 6.3 Declaring Relationships Between Mappers 6.4 Extending Mappers 6.5 ORM Partitioning Strategies Chapter 7: Querying and Updating at the ORM Level 7.1 The SQLAlchemy ORM Session Object 7.2 Querying at the ORM Level 7.3 Contextual or Thread-Local Sessions Chapter 8: Inheritance Mapping 8.1 Overview of Inheritance Mapping 8.2 Single Table Inheritance Mapping 8.3 Concrete Table Inheritance Mapping 8.4 Joined Table Inheritance Mapping 8.5 Relations and Inheritance Chapter 9: Elixir: A Declarative Extension to SQLAlchemy 9.1 Introduction to Elixir 9.2 Installing Elixir 9.3 Using Elixir 9.4 Elixir Extensions Chapter 10: SqlSoup: An Automatic Mapper for SQLAlchemy 10.1 Introduction to SqlSoup 10.2 Using SqlSoup for ORM-Style Queries and Updates 10.3 Using SqlSoup for SQL-Level Inserts, Updates, and Deletes 10.4 When to Use SqlSoup Versus Elixir Versus 'Bare' SQLAlchemy Chapter 11: Other SQLAlchemy Extensions 11.1 Association Proxy 11.2 Ordering List 11.3 Deprecated Extensions Colophon. N° de ref. de la librería
Essential SQLAlchemy introduces a high-level open-source code library that makes it easier for Python programmers to access relational databases such as Oracle, DB2, MySQL, PostgreSQL, and SQLite. SQLAlchemy has become increasingly popular since its release, but it still lacks good offline documentation. This practical book fills the gap, and because a developer wrote it, you get an objective look at SQLAlchemy's tools rather than an advocate's description of all the "cool" features.
SQLAlchemy includes both a database server-independent SQL expression language and an object-relational mapper (ORM) that lets you map "plain old Python objects" (POPOs) to database tables without substantially changing your existing Python code. Essential SQLAlchemy demonstrates how to use the library to create a simple database application, walks you through simple queries, and explains how to use SQLAlchemy to connect to multiple databases simultaneously with the same Metadata. You also learn how to:
In addition, you'll learn how and when to use other extensions to SQLAlchemy, including AssociationProxy, OrderingList, and more.
Essential SQLAlchemy is the much-needed guide for every Python developer using this code library. Instead of a feature-by-feature documentation, this book takes an "essentials" approach that gives you exactly what you need to become productive with SQLAlchemy right away.
Book Description: Mapping Python to Databases
Condición del libro: New
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