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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

MongoDB in Flask


MongoDB is far and away the most popular NoSQL database. MongoDB is also the best-supported NoSQL database for Flask and Python in general. Therefore, our examples will focus on MongoDB.

MongoDB is a document store NoSQL database. Documents are stored in collections, which allow grouping of similar documents, but no similarities between documents are necessary to store a document in a collection. Documents are defined in a JSON superset named BSON, which stands for Binary JSON. BSON allows JSON to be stored in binary format rather than in string format, saving a lot of space. BSON also distinguishes between several different ways of storing numbers, such as 32-bit integers and doubles.

To understand the basics of MongoDB, we will use Flask-MongoEngine to cover the same functionality of Flask-SQLAlchemy in the previous chapters. Remember that these are just examples. There is no benefit in refactoring our current code to use MongoDB because MongoDB cannot offer any new functionality...

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