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  • Book Overview & Buying Full-Stack Flask and React
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Full-Stack Flask and React

Full-Stack Flask and React

By : Adedeji
3.8 (5)
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Full-Stack Flask and React

Full-Stack Flask and React

3.8 (5)
By: Adedeji

Overview of this book

Developing an interactive, efficient, and fast enterprise web application requires both the right approach and tooling. If you are a web developer looking for a way to tap the power of React’s reusable UI components and the simplicity of Flask for backend development to develop production-ready, scalable web apps in Python, then this book is for you. Starting with an introduction to React, a JavaScript library for building highly interactive and reusable user interfaces, you’ll progress to data modeling for the web using SQLAlchemy and PostgreSQL, and then get to grips with Restful API development. This book will aid you in identifying your app users and managing access to your web application. You’ll also explore modular architectural design for Flask-based web applications and master error-handling techniques. Before you deploy your web app on AWS, this book will show you how to integrate unit testing best practices to ensure code reliability and functionality, making your apps not only efficient and fast but also robust and dependable. By the end of this book, you’ll have acquired deep knowledge of the Flask and React technology stacks, which will help you undertake web application development with confidence.
Table of Contents (21 chapters)
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1
Part 1 – Frontend Development with React
9
Part 2 – Backend Development with Flask

Summary

In this chapter, we discussed in detail how you can fetch and display data in a React–Flask web application. We examined one of the ways fetching and displaying data is handled. You were able to work from the backend in defining the Speaker model class and implement various endpoints to handle data fetching from the database, and adding, updating, and deleting data on it.

We used the Axios library to send a request to the Flask backend, which then retrieved the data from a database and returned it to the frontend in a response. The React frontend then processed the response and displayed the data to the end user. Lastly, we implemented pagination as a way to present large datasets efficiently and to improve the performance of React–Flack web application projects.

Next, we are going to discuss authentication and authorization in a React–Flask application and examine the best practices to ensure that your application is secure and ready for production...

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Full-Stack Flask and React
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