First Steps in Python Backend with FastAPI (From FastAPI to Asynchronous SQLAlchemy) [Full Stack Part 1-2]

Hello. This is Dave Lee from Janjaemi Coding.

The reason is that this time I published a book and would like to share it with you in a lighthearted way.

Recently, many people are interested in developing web services or backend functions. For example, when creating your own GPTs, you need backend functions. When implementing backend functions in GPTs, the most introduced backend frameworks are FastAPI or Flask. FastAPI boasts fast implementation speed and excellent performance, and Flask is simple and easy to learn, making it suitable for beginners. In particular, both can be learned and implemented quickly if you only know Python, which is a special advantage.

So, even in the fastest full-stack roadmap, you can learn the basics of Python backend and web technology with Flask and learn in depth through FastAPI bootcamp. However, the framework always has a wide range of functions, but there is no suitable book to refer to them. The biggest disadvantage of Flask and FastAPI is that there are not many reference materials. So I made a book so that you can see as many functions as possible as a reference book.

Personally, I think online lectures are the most helpful for quickly learning IT skills. Later, when actually implementing, it would be helpful to have a reference book to refer to additional functions along with the online lecture content. If you want to implement a web service as quickly as possible or organize backend functions, I recommend referring to the following books and lectures.

Reference Book: Flask and FastAPI for Fastest Web Development and Full Stack (Python Backend in One Book)
Flask Lecture: Python Backend and Web Technology Basics [Full Stack Part 1-1]
FastAPI Lecture: Python Backend and FastAPI Bootcamp [Full Stack Part 1-2]
The easiest and fastest full-stack roadmap

thank you
Remnant fun coding Dave Lee Dream
Fun Coding YouTube Channel: https://www.youtube.com/@fun-coding