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Full-Stack Flask and React

You're reading from   Full-Stack Flask and React Learn, code, and deploy powerful web applications with Flask 2 and React 18

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803248448
Length 408 pages
Edition 1st Edition
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Author (1):
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Olatunde Adedeji Olatunde Adedeji
Author Profile Icon Olatunde Adedeji
Olatunde Adedeji
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Table of Contents (21) Chapters Close

Preface 1. Part 1 – Frontend Development with React
2. Chapter 1: Getting Full Stack Ready with React and Flask FREE CHAPTER 3. Chapter 2: Getting Started with React 4. Chapter 3: Managing State with React Hooks 5. Chapter 4: Fetching Data with React APIs 6. Chapter 5: JSX and Displaying Lists in React 7. Chapter 6: Working with React Router and Forms 8. Chapter 7: React Unit Testing 9. Part 2 – Backend Development with Flask
10. Chapter 8: SQL and Data Modeling 11. Chapter 9: API Development and Documentation 12. Chapter 10: Integrating the React Frontend with the Flask Backend 13. Chapter 11: Fetching and Displaying Data in a React-Flask Application 14. Chapter 12: Authentication and Authorization 15. Chapter 13: Error Handling 16. Chapter 14: Modular Architecture – Harnessing the Power of Blueprints 17. Chapter 15: Flask Unit Testing 18. Chapter 16: Containerization and Flask Application Deployment 19. Index 20. Other Books You May Enjoy

Managing pagination in a React–Flask application

When working with a large dataset, it’s important to implement pagination to make the large dataset more manageable for the user. Pagination is a technique used to divide a large set of data into smaller, more manageable chunks called pages. Each page contains a subset of the total data, allowing users to navigate through the data in a controlled manner.

Pagination provides a way to present large datasets efficiently, improves performance, and enhances the user experience by making data more accessible. In this section, you will learn how to implement pagination in a React–Flask web application. To implement pagination, you will need to make some changes to the backend server to handle pagination requests.

You can use the Flask-SQLAlchemy library to handle pagination on the backend. On the Flask backend, you can implement pagination for the speaker model using the Flask-SQLAlchemy library’s pagination...

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