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

# Push changes to GitHub
We have made some changes in our code to implement logging using *Application Insights*, so we need to first push those changes to our GitHub repository.

Let us see the steps below:

**Explanation**
* **Step 1:** Run the **GIT** commands. When you try to push your code, you will get an error. This error is due to the workflow file that was created by Azure in your repository but was not present in your local system.

* **Step 2:** We need to `PULL` the repository first so that all the new files on the GitHub repository are present locally. Then, we push our code to GitHub. And it's done!
# Check the GitHub Actions
Now, go to the GitHub Actions page of your repository to view the CI/CD pipeline (*workflow*) running.

Verify whether the CI/CD is working correctly or not and test your final API.

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

Check the CI/CD Pipeline and Test the Final API

Push changes to GitHub