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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

Building Asynchronous Transactions

After rigorous discussion on the core components and advanced features of the Flask 3.0 framework, this chapter will explore Flaskā€™s capability to manage requests and responses asynchronously and its ability to execute asynchronous services and repository transactions.

Flask was originally a standard Python framework that ran on the Web Server Gateway Interface (WSGI)-based platform popular in managing blocking processes. But Flask 3.0 supports the creation and execution of non-blocking view and API functions. It can run transactions using some asyncio utilities and build asynchronous repository transactions with SQLAlchemy 2.x.

This chapter will also explore other avenues that help provide Flask applications with the fastest performance using asynchronous mechanisms, such as Celery tasks, task queues, WebSocket, and server push. The chapter will also introduce Quart, the asynchronous Flask-based platform that can build and run all components...

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