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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

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781835886762

Length 312 pages

Edition 2nd Edition

Languages

Python

Tools

ChatGPT

Concepts

Application Development

Authors (4):

Shrey Batra

Rachelle Palmer

Shubham Ranjan

Marko Aleksendrić

View More author details

Table of Contents (14) Chapters

Preface

1. Chapter 1: Web Development and the FARM Stack

2. Chapter 2: Setting Up the Database with MongoDB FREE CHAPTER

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

Why subscribe?

13. Other Books You May Enjoy

Summary

This chapter detailed the basic building blocks that define MongoDB and its structure. You have seen how to set up a database in the cloud using MongoDB Atlas and explored the basics of creating, updating, and deleting documents. Further, this chapter detailed the aggregation pipeline framework—a strong analytic tool.

The next chapter will show how to create APIs with FastAPI—an exciting and new Python framework. We will provide a minimal yet complete guide of the main concepts and features, which should hopefully convince you that building APIs can be fast, efficient, and fun.

You have been reading a chapter from

Full Stack FastAPI, React, and MongoDB - Second Edition

Published in: Aug 2024

Publisher: Packt

ISBN-13: 9781835886762

© 2024 Packt Publishing Limited All Rights Reserved

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Authors (5)

MongoDB Inc.

MongoDB Inc.

See other products by MongoDB Inc.

Marko Aleksendrić

Marko Aleksendrić

Marko Aleksendrić is an analyst, a scientist, and a freelance self-taught web developer with over 20 years of experience. Marko has authored the book Modern Web Development with the FARM Stack and Mastering MongoDB 7.0, published by Packt Publishing. With a keen interest in backend and frontend development, he has been an avid MongoDB user for the last 15 years for various web and data analytics-related projects and has built numerous Python and JavaScript web applications and tools.

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Shrey Batra

Shrey Batra

Shrey is the Founder of Cosmocloud, a MongoDB Champion, and a software developer by passion. As a tech startup founder building a No-Code backend with MongoDB, he combines his passion for both MongoDB and building applications at scale. Working in the industry for over 8 years, he is also an active contributor to the technical community, speaks at various world conferences and meetups, and writes his own newsletter, System Design and Architecture, which has 50K+ subscribers. He is also a distributed algorithm patent holder for his work at LinkedIn on its Search and Discovery platform.

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Shubham Ranjan

Shubham Ranjan

Shubham Ranjan is a Product Manager at MongoDB for Python and a core contributing member to AI initiatives at MongoDB. He is also a Python developer and has published over 700 technical articles on topics ranging from data science and ML to competitive programming. Since joining MongoDB in 2019, Shubham has held several roles, progressing from a Software Engineer to a Product Manager for multiple products.

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Rachelle Palmer

Rachelle Palmer

Rachelle Palmer is the Product Leader for Developer Database Experience and Developer Education at MongoDB, overseeing the driver client libraries, documentation, framework integrations, and MongoDB University. She has built sample applications for MongoDB in Java, PHP, Rust, Python, Node.js, and Ruby. Rachelle joined MongoDB in 2013 and was previously the Director of the Technical Services Engineering team, creating and managing the team that provided support and CloudOps to MongoDB Atlas.

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