Gain insights into building REST APIs with FastAPI, explore parallel processing in Python, and discover how to deploy APIs on Microsoft Azure with a CI/CD pipeline using GitHub.

Build a REST API Using Python and Deploy It to Microsoft Azure.png

fastapi-docker.tar.gz

FastAPI-test

Python3

In this course, you will learn how to build a REST API using a lighter web framework for Python, i.e., FastAPI. You will learn the basics of FastAPI and learn how to implement parallel processing in Python APIs.

Finally, you will deploy your API on Microsoft Azure and build a Continuous Integration/Continuous Development (CI/CD) Pipeline using Github.

Build a REST API Using Python and Deploy it to Microsoft Azure

# Introduction to automatic UI documentation
One of the major benefits of FastAPI is that it is fully compatible with open standards for APIs, OpenAPI and JSON Schema. It provides an automatic UI generated for testing your entire API and its different routes. If you have previously used Postman, you will be able to see that the same thing is provided by `FastAPI`. Any API consumer can visit this UI to test all the routes and see what  different parameters, header, body, etc. are required as well as the response from the API.

# Try the API documentation provided by **Swagger UI**
The following is detailed in the official  documentation of Swagger UI:
> **Swagger UI** allows anyone — be it your development team or your end consumers, to visualize and interact with the API’s resources without having any of the implementation logic in place. It’s automatically generated from your *OpenAPI Specification*, with the visual documentation making it easy for back-end implementation and client-side consumption.

The following is detailed in  the official documentation of OpenAPI:
> The **OpenAPI Specification (OAS)** defines a standard, programming language-agnostic interfaces description for HTTP APIs, which allows both humans and computers to discover and understand the capabilities of a service without requiring access to source code, additional documentation, or inspection of network traffic. When properly defined via OpenAPI, a consumer can understand and interact with the remote service with a minimal amount of implementation logic. 

To try the UI documentation, you can start the server, and then visit the URL provided below:
```
http://localhost:8000/docs
```
You will see a nice UI as shown below.

Explore the benefit of automatic UI documentation offered by FastAPI for all your APIs.

Overview of the Course

Building Blocks of an API in Python

Learn the Basics of FastAPI

Optical Character Recognition API Using Tesseract - Project 1

Cloud and Microsoft Azure Services

Text Analytics API Using Azure Cognitive Services - Project 2

Deploy the REST API on Microsoft Azure

Pop Quiz

Appendix

Interactive API Docs - Feature of FastAPI

Introduction to automatic UI documentation