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Mastering Flask Web and API Development

You're reading from   Mastering Flask Web and API Development Build and deploy production-ready Flask apps seamlessly across web, APIs, and mobile platforms

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781837633227
Length 494 pages
Edition 1st Edition
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Author (1):
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Sherwin John C. Tragura Sherwin John C. Tragura
Author Profile Icon Sherwin John C. Tragura
Sherwin John C. Tragura
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Learning the Flask 3.x Framework
2. Chapter 1: A Deep Dive into the Flask Framework FREE CHAPTER 3. Chapter 2: Adding Advanced Core Features 4. Chapter 3: Creating REST Web Services 5. Chapter 4: Utilizing Flask Extensions 6. Part 2:Building Advanced Flask 3.x Applications
7. Chapter 5: Building Asynchronous Transactions 8. Chapter 6: Developing Computational and Scientific Applications 9. Chapter 7: Using Non-Relational Data Storage 10. Chapter 8: Building Workflows with Flask 11. Chapter 9: Securing Flask Applications 12. Part 3:Testing, Deploying, and Building Enterprise-Grade Applications
13. Chapter 10: Creating Test Cases for Flask 14. Chapter 11: Deploying Flask Applications 15. Chapter 12: Integrating Flask with Other Tools and Frameworks 16. Index 17. Other Books You May Enjoy

Summary

Flask 2.2 is now at par with the other frameworks that support and utilize asynchronous solutions to improve the application’s runtime performance. Its view and API functions can now be async and runnable on an event loop created by Flask. Asynchronous services and transactions can now be executed and awaited on the Flask platform as tasks created by create_task() and ensure_future().

The latest SQLAlchemy[async] can easily integrate with the Flask application to provide asynchronous CRUD transactions. Also, creating asynchronous tasks to break down the sequence of blocking transactions in Celery background processes, WebSocket messaging, and Observable operations are now possible with Flask 2.2.

Moreover, designing loosely coupled components, application-scoped cross-cut concern solutions, and some distributed setups is now feasible with Flask 2.2 through the built-in asynchronous signals.

There is even a 100% asynchronous Flask framework called Quart that...

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