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Full Stack FastAPI, React, and MongoDB

You're reading from   Full Stack FastAPI, React, and MongoDB Fast-paced web app development with the FARM stack

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835886762
Length 312 pages
Edition 2nd Edition
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Authors (4):
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Shrey Batra Shrey Batra
Author Profile Icon Shrey Batra
Shrey Batra
Rachelle Palmer Rachelle Palmer
Author Profile Icon Rachelle Palmer
Rachelle Palmer
Shubham Ranjan Shubham Ranjan
Author Profile Icon Shubham Ranjan
Shubham Ranjan
Marko Aleksendrić Marko Aleksendrić
Author Profile Icon Marko Aleksendrić
Marko Aleksendrić
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Toc

Table of Contents (14) Chapters Close

Preface 1. Chapter 1: Web Development and the FARM Stack FREE CHAPTER 2. Chapter 2: Setting Up the Database with MongoDB 3. Chapter 3: Python Type Hints and Pydantic 4. Chapter 4: Getting Started with FastAPI 5. Chapter 5: Setting Up a React Workflow 6. Chapter 6: Authentication and Authorization 7. Chapter 7: Building a Backend with FastAPI 8. Chapter 8: Building the Frontend of the Application 9. Chapter 9: Third-Party Services Integration with FastAPI and Beanie 10. Chapter 10: Web Development with Next.js 14 11. Chapter 11: Useful Resources and Project Ideas 12. Index 13. Other Books You May Enjoy

Project outline

Staying with the situation that you operate a (small) used car sales agency, the requirements are somewhat similar to the ones in the previous chapters. You will build a backend for a web app that displays information and pictures of cars that are for sale. Unlike the previous chapters, now you will use an ODM, and you will include email sending and OpenAI integration, which will be handled by FastAPI’s background tasks.

The car data model will be handled by Pydantic and Beanie. The application will need authenticated users and, while you will use JSON Web Tokens (JWTs) again in the backend, on the frontend, which you will develop in the next chapter, they will be handled by cookies, with the help of a package called iron-session.

Finally, you will integrate an LLM API (in this case, OpenAI) to help create useful car model descriptions, list the pros and cons of the newly inserted car model for the marketing pages, and send tailored emails to specified...

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