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Mastering Flask

You're reading from   Mastering Flask Gain expertise in Flask to create dynamic and powerful web applications

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Product type Paperback
Published in Sep 2015
Publisher Packt
ISBN-13 9781784393656
Length 288 pages
Edition 1st Edition
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Author (1):
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Jack Stouffer Jack Stouffer
Author Profile Icon Jack Stouffer
Jack Stouffer
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Table of Contents (15) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Creating Models with SQLAlchemy 3. Creating Views with Templates 4. Creating Controllers with Blueprints 5. Advanced Application Structure 6. Securing Your App 7. Using NoSQL with Flask 8. Building RESTful APIs 9. Creating Asynchronous Tasks with Celery 10. Useful Flask Extensions 11. Building Your Own Extension 12. Testing Flask Apps 13. Deploying Flask Apps Index

Chapter 2. Creating Models with SQLAlchemy

As previously stated, models are a means of abstracting and giving a common interface to data. In most web applications, data is stored and retrieved from a Relational Database Management System (RDBMS), which is a database that holds data in a tabular format with rows and columns and is able to compare data across tables. Some examples include MySQL, Postgres, Oracle, and MSSQL.

In order to create models on top of our database, we will use a Python package named SQLAlchemy. SQLAlchemy is a database API at its lowest level and performs Object Relational Mapping (ORM) at its highest level. An ORM is a technique to pass and convert data between two sources with different types of systems and data structures. In this case, it converts data between the large amount of types in databases versus the mix of types and objects in Python. Also, a programming language such as Python allows you to have different objects that hold references to each...

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