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Flask Framework Cookbook

You're reading from   Flask Framework Cookbook Enhance your Flask skills with advanced techniques and build dynamic, responsive web applications

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781804611104
Length 318 pages
Edition 3rd Edition
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Author (1):
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Shalabh Aggarwal Shalabh Aggarwal
Author Profile Icon Shalabh Aggarwal
Shalabh Aggarwal
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1: Flask Fundamentals
2. Chapter 1: Flask Configurations FREE CHAPTER 3. Chapter 2: Templating with Jinja 4. Chapter 3: Data Modeling in Flask 5. Chapter 4: Working with Views 6. Part 2: Flask Deep Dive
7. Chapter 5: Web Forms with WTForms 8. Chapter 6: Authenticating in Flask 9. Chapter 7: RESTful API Building 10. Chapter 8: Admin Interface for Flask Apps 11. Chapter 9: Internationalization and Localization 12. Part 3: Advanced Flask
13. Chapter 10: Debugging, Error Handling, and Testing 14. Chapter 11: Deployment and Post-Deployment 15. Chapter 12: Microservices and Containers 16. Chapter 13: GPT with Flask 17. Chapter 14: Additional Tips and Tricks 18. Index 19. Other Books You May Enjoy

Data Modeling in Flask

This chapter covers one of the most important aspects of any application, which is the interaction with the database systems. In this chapter, you will see how Flask can connect to database systems, define models, and query the databases for the retrieval and feeding of data. Flask has been designed to be flexible enough to support any database. The simplest way would be to use the direct SQLite3 package, which is a DB-API 2.0 interface and does not give an actual object-relational mapping (ORM). Here, we need to write SQL queries to talk with the database. This approach is not recommended for large projects, as it can eventually become a nightmare to maintain the application. Also, with this approach, the models are virtually non-existent and everything happens in the view functions, and it is not a good practice to write database queries in your view functions.

In this chapter, we will talk about creating an ORM layer for our Flask applications with SQLAlchemy...

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