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

# Installation
Run the command below to install `FastAPI`. You can also create a virtual environment and then install the package.
```a 
pip install fastapi
```
You will also need an `ASGI` server for production such as `uvicorn`. An `ASGI` (*Asynchronous Server Gateway Interface*) is a spiritual successor to `WSGI`, intended to provide a standard interface between async-capable Python web servers, frameworks, and applications.
```a
pip install uvicorn
```
Now we are ready to run our first `FastAPI` code.

Learn to install FastAPI on your local system.

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

How can I Install FastAPI

Installation