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

SQL and Data Modeling

So far, we’ve explored React, a key library in frontend technology stacks. Now, we will explore the world of backend development, starting with Structured Query Language (SQL) and data modeling.

SQL and data modeling are critical skills for any backend developer, and starting with these skills in the backend development journey will give you a strong foundation to build robust and scalable web applications. SQL is a standard language used to manage data in relational databases, which are essentially used to store structured data.

Knowledge of SQL will help you to write optimized SQL queries that can improve the performance of your application and reduce server load. Data modeling will help you to design a database schema that reflects the data your application will work with. Data modeling can help you avoid performance issues, maintainability problems, and other common issues that may arise when working with databases.

We will dive deeply into...