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

## Define the `analyze_text()` function 
In the previous lesson, we have already created the structure of the `API`. We are only left with writing the function that will handle the `POST` route. Let us see the code now.

# Define the `analyze_text()` function 
In the previous lesson, we have already created the structure of the `API`. We are only left with writing the function that will handle the `POST` route. Let us see the code now.

Create your REST API using the Azure Text Analytics Service.

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

Implement Azure Text Analytics Service - 2

Define the `analyze_text()` function