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Full Stack FastAPI, React, and MongoDB

Full Stack FastAPI, React, and MongoDB

By : Marko Aleksendrić
3.8 (5)
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Full Stack FastAPI, React, and MongoDB

Full Stack FastAPI, React, and MongoDB

3.8 (5)
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)
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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 considerations

In Chapter 2, Setting Up the Document Store with MongoDB, we provided a concise introduction to MongoDB that should be enough to get you started with simpler projects. However, MongoDB is a complex ecosystem employed by enterprise-level companies, so diving deeper into its features and patterns will only benefit your developer’s abilities and understanding of the NoSQL paradigm.

One of the first steps in this direction is data modeling or schema design – and it is often said that your data model should reflect how your application will see the data and its flow, starting from the queries you will be making. There are advanced design patterns that apply to MongoDB schemas that are beyond the scope of this book.

Some of the more popular MongoDB document modeling suggestions were mentioned in Chapter 2, Setting Up the Document Store with MongoDB, but let’s add some more, formulated differently – they tend to sound a bit like Haiku...

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Full Stack FastAPI, React, and MongoDB
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