Book Image

Full Stack FastAPI, React, and MongoDB

By : Marko Aleksendrić
4 (1)
Book Image

Full Stack FastAPI, React, and MongoDB

4 (1)
By: Marko Aleksendrić

Overview of this book

If you need to develop web applications quickly, where do you turn? Enter the FARM stack. The FARM stack combines the power of the Python ecosystem with REST and MongoDB and makes building web applications easy and fast. This book is a fast-paced, concise, and hands-on beginner’s guide that will equip you with the skills you need to quickly build web applications by diving just deep enough into the intricacies of the stack's components. The book quickly introduces each element of the stack and then helps you merge them to build a medium-sized web application. You'll set up a document store with MongoDB, build a simple API with FastAPI, and create an application with React. Security is crucial on the web, so you'll learn about authentication and authorization with JSON Web Tokens. You'll also understand how to optimize images, cache responses with Redis, and add additional features to your application as well as explore tips, tricks, and best practices to make your development experience a breeze. Before you know it, you'll be deploying the application to different platforms. By the end of this book, you will have built a couple of functional applications efficiently and will have the springboard you need to delve into diverse and more specialized domains.
Table of Contents (17 chapters)
1
Part 1 – Introduction to the FARM Stack and the Components
6
Part 2 – Parts of the Stack Working Together
10
Part 3 – Deployment and Final Thoughts

MongoDB querying and CRUD operations

After all this setting up, downloading, and installing, it is finally time to see MongoDB in action and try to get what all the fuss is about. In this section, we will show, through some simple examples, the most essential MongoDB commands. Though simple, these methods will enable us, the developers, to take control of our data, create new documents, query documents by using different criteria and conditions, perform simple and more complex aggregations, and output data in various forms. You might say that the real fun begins here!

Although we will be talking to MongoDB through our Python drivers (Motor and PyMongo), we believe that it is better to learn how to write queries directly. We will begin by querying the data that we have imported, as we believe that it is a more realistic scenario than just starting to make up artificial data, then we will go through the process of creating new data – inserting, updating, and so on. Let’...