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Mastering Flask Web Development

You're reading from   Mastering Flask Web Development Build enterprise-grade, scalable Python web applications

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995405
Length 332 pages
Edition 2nd Edition
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Authors (2):
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Jack Stouffer Jack Stouffer
Author Profile Icon Jack Stouffer
Jack Stouffer
Daniel Gaspar Daniel Gaspar
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Daniel Gaspar
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Table of Contents (15) Chapters Close

Preface 1. Getting Started 2. Creating Models with SQLAlchemy FREE CHAPTER 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 14. Other Books You May Enjoy

Creating Models with SQLAlchemy

As we saw in the last chapter, models are a means of abstracting and providing a common interface to access 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 implement a relational model with 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 at its highest level. An ORM (object relational mapper) is a tool that allows developers to store and retrieve data using object-oriented approaches and solve object-relational mismatches—a set of conceptual and technical difficulties that...

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Mastering Flask Web Development - Second Edition
Published in: Oct 2018
Publisher: Packt
ISBN-13: 9781788995405
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