Build professional APIs using FastAPI, including 100% test coverage, background tasks, user authentication, and more!

What you'll learn

Gain broad experience with FastAPI
Understand how to test FastAPI apps using Pytest with 100% test coverage
Become a master of logging with the built-in logging module
Add user authentication with password hashing and Bearer tokens
Use an async SQL database and model one-to-many and many-to-many relationships
Send user emails when they register without a performance hit using background tasks
Handle file uploads and store them in a third-party service
Deploy your FastAPI apps to the cloud

Requirements

Some prior programming experience in any programming language.
All software used in the course is provided, and completely free
Complete beginners may wish to take a beginner Python course first, and then transition to this course afterwards

Description

With FastAPI you can build complete, high-performance APIs in days, and adding new features is blazing-fast. That's why FastAPI has become so popular in recent years.In this course, I'll show you how to go from a blank slate to a complete, finished FastAPI application.The projectWe'll build social media API with user authentication, email sending, and file upload. Users will be able to register and log in using Bearer (JWT) tokens. They will be able to create posts, leave comments, and like existing posts.We'll use Pydantic for data validation and encode/databases as our database connectivity library.Advanced knowledgeUse background tasks in FastAPI to improve performance when running slow code, such as when sending emails (covered in the course) or when making slow requests to third party APIs (also covered).Throughout the course we use an async database library, again to maximise performance, which is nonetheless straightforward to use. You'll learn about the different types of data relationships and how to model them, including many-to-many relationships.You'll learn how to handle file uploads and what to do with the uploaded files, so you don't run out of server space.Complete API testingFinally, 100% of the code in this course has tests. You'll use pytest extensively to write integration and unit tests for the API. You'll learn about pytest fixtures, parametrization, and testing conventions.Part of real-world development means logging! There's a lot of logging knowledge in this course, including how to set up the logging module properly, when to make logging calls, and where to store logs when your application is deployed.DeploymentsOf course, I'll show you how to deploy your FastAPI app using popular service Render. You can deploy your FastAPI app for free, but I'll also show you some paid options for improved performance.We'll also look at application management, error handling with Sentry, and CI/CD with GitHub Actions.If you use or want to use FastAPI, this course contains everything you need to develop complete, real-world APIs.Let's get started. I'll see you on the inside!

Who this course is for

Software developers looking to expand their skill-set by learning to develop professional grade FAST APIs
Students wanting to extend the capabilities of mobile and web applications by using server-side technologies
Homepage:

https://www.udemy.com/course/rest-api-fastapi-python/