Boost your web developer potential and stay ahead in the fast-paced web development and AI race with the flexibility, adaptability, and robustness of the FARM stack
Key Features
- Learn the basics of MongoDB to be able to model any type of data
- Explore the powerful Python web development ecosystem with Pydantic and FastAPI
- Future-proof your applications by integrating ChatGPT or other LLMs
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Discover how to harness the power of the FARM stack—FastAPI, React, and MongoDB—to develop production-ready web applications of varying complexity. Written by a team of industry experts, including MongoDB champions and product leaders, this fast-paced, hands-on guide equips beginners with essential skills to build web applications efficiently.
Introducing each element of the stack, the book demonstrates how to seamlessly integrate them to create a medium-sized web application. You'll set up MongoDB as a document store, construct a simple API with FastAPI, and build an application using React. The guide also covers enhancing application security through authentication and authorization with JSON Web Tokens.
Beyond mastering the stack, you'll get to grips with integrating Large Language Models (like ChatGPT) for advanced functionality, such as automated email sending. Additionally, you'll learn how to make the most of Next.js 14, a robust full-stack framework offering improved developer experience.
By the end of the book, you'll have created functional applications and gained the foundation to explore diverse and more specialized domains, expanding your development horizons.
What you will learn
- Set up and manage MongoDB databases and collections, and model data
- Leverage the power of FastAPI to write complex APIs using pure Python
- Create frontends of varying complexity with the React library
- Build and deploy robust and secure backends using FastAPI and MongoDB
- Ship production-ready applications with Next.js 14, applying your React and backend knowledge
- Integrate Large Language Models, send emails, and do much more with the flexible FARM stack
Who this book is for
The book is for intermediate web developers with basic JavaScript and Python knowledge who want to enhance their developer skills, master a powerful and flexible stack, and write better applications faster.
Table of Contents
- Web Development and the FARM Stack
- Setting Up the Database with MongoDB
- Python Type Hints and Pydantic
- Getting Started with FastAPI
- Setting Up a React Workflow
- Authentication and Authorization
- Building a Backend with FastAPI
- Building the Frontend of the Application
- Third-Party Services Integration with FastAPI and Beanie
- Web Development with Next.js 14
- Useful Resources and Project Ideas
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.
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.
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.
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.
