Book Image

Full-Stack Flask and React

By : Adedeji
3.5 (2)
Book Image

Full-Stack Flask and React

3.5 (2)
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)
1
Part 1 – Frontend Development with React
9
Part 2 – Backend Development with Flask

Summary

In this chapter, we extensively discussed SQL and relational data modeling for the web. A relational database helps us with the design of a database as a group of relations. We also discussed relationships that can exist in a database, such as one-to-one, one-to-many, and many-to-many relationships, allowing us to logically group relations in the database and enforce data referential integrity.

Additionally, we examined how to set up PostgreSQL. We shed light on the basics of SQLAlchemy and its associated database adapters and how they are used in Flask application development. We discussed data model design, with the Bizza project as a use case. Finally, we discussed how a Flask app can communicate with the database and migration in Flask to keep track of changes in a database.

In the next chapter, we will extensively discuss the API in backend development and how you can use the Flask framework to implement API design.