Build Your Own Netflix with Python and React: A Full Stack Guide to Movie Recommendation Systems: Create a Professional Portfolio using GitHub, FastAPI(python), React(Javascript) (English Edition)

Build Your Own Netflix with Python and React: A Full Stack Guide to Movie Recommendation Systems: Create a Professional Portfolio using GitHub, FastAPI(python), React(Javascript) (English Edition)

Have you ever wondered how Netflix can recommend movies that match your taste and preferences?
Do you want to learn how to build your own movie recommendation system using Python and React?
Do you want to create a professional portfolio using GitHub, FastAPI, and React?
Do you want to get career advice and start-up experiences from a full stack web developer?

If you answered yes to any of these questions, then this book is for you. Build Your Own Netflix with Python and React: A Full Stack Guide to Movie Recommendation Systems is a comprehensive and practical guide that will teach you how to create a web application that recommends movies based on user ratings and preferences.
You will learn how to use Python and React to build a full stack web application, from data processing to web development and deployment. You will also learn how to use GitHub, FastAPI, and React to create a professional portfolio that showcases your skills and projects. Along the way, you will get career advice and start-up experiences from the author, who is a full stack data engineer in new media start-up in NYC and a technical advisor in many early stage start-ups.

In this book, you will:
- Learn the basics of Python and React, two of the most popular and powerful programming languages for web development
- Learn how to use GitHub, FastAPI, and React to create a professional portfolio that showcases your skills and projects
- Learn how to process movie data using Python libraries such as pandas and numpy
- Learn how to implement various movie recommendation algorithms using Python library "implicit", such as collaborative filtering, content-based filtering, and matrix factorization
- Learn how to create a web application using React that displays movie recommendations to users based on their ratings and preferences
- Learn how to deploy your web application to the cloud using Fly.io and Cloudflare pages
- Get career advice and start-up experiences from a full stack data engineer in new media start-up in NYC and a technical advisor in many early stage start-ups.

By the end of this book, you will have a fully functional movie recommendation system that you can use as a personal project or as a portfolio piece. You will also have a solid foundation in full stack web development with Python and React, and a better understanding of how Netflix and other movie streaming services work. You will also have learned valuable career advice and start-up experiences from a full stack data engineer in new media start-up in NYC and a technical advisor in many early stage start-ups. Whether you are a beginner or an experienced web developer, this book will help you learn new skills, create a professional portfolio, and build your own Netflix with Python and React. So what are you waiting for? Grab your copy today and start building your own movie recommendation system!

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