Modern APIs with FastAPI and Python | TalkPython

Modern APIs with FastAPI and Python | TalkPython
English | Size: 3.09 GB
Category: CBTs

FastAPI is one of the most exciting new web frameworks to date. It leverages more of the power of modern Python than any other framework: type hints, async and await, data classes, and more. If you are building an API in Python, you have many options. But for us FastAPI is the obvious choice in the future. And this course will teach you everything you need to know to get started. We will create a realistic API that works with live data and deploy this API on a cloud server Linux VM. In fact, you will even see how to create proper HTML web pages to extend your FastAPI API.
What is this course about and how is it different?
This course is designed to quickly create new APIs that run in the cloud using FastAPI. We start with some basic concepts and then go straight to building our first API with FastAPI. We’ll then explore major modern Python features to make sure you’re ready to take full advantage of this framework. We’ll look at how async and await work in Python, how to create self-checking and self-describing classes with Pydantic, Python 3 type hints, and other core language concepts. We conclude the course by creating a realistic API that works with live data. We then deploy this API using nginx + gunicorn + uvicorn running on Ubuntu in the Digital Ocean cloud VM.
What topics are covered
See how easy it can be to work with basic APIs in FastAPI.
Create API methods that handle common HTTP commands (GET, POST, DELETE, etc.)
Return JSON data to API clients
Use async and await to create truly scalable applications
Will use Pydantic to create required and optional data exchange
Make FastAPI automatically check and convert data types (for example, “2021-01-05” to date and time)
Organize your application with APIRoutes to properly decompose your application into Python files.
Return the most appropriate error response to API clients (e.g. 400 Bad Request)
Understand why gunicorn and uvicorn should be used together in a production environment
And much more
Who is this course for?
This course is for anyone looking to create an API with Python as their back-end language. If you want your API to rival any major web API platform in speed and capability, this is the right course.

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