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

Aggregation framework

In the following pages, we will try to provide a brief introduction to the MongoDB aggregation framework, what it is, what benefits it offers, and why it is regarded as one of the strongest selling points of the MongoDB ecosystem.

Centered around the concept of a pipeline (something that you might be familiar with if you have done some analytics or if you have ever connected a few commands in Linux), the aggregation framework is, at its simplest, an alternative way to retrieve sets of documents from a collection; it is similar to the find method that we already used extensively but with the additional benefit of the possibility of data processing in different stages or steps.

With the aggregation pipeline, we basically pull documents from a MongoDB collection and feed them sequentially to various stages of the pipeline where each stage output is fed to the next stage’s input until the final set of documents is returned. Each stage performs some data...