Adding Class based POST request with FastApi Python ASGI Server

In this video you will learn how to quickly add POST API support to any Python FastApi application where the POST parameters are directly parsed by a Python Class to make your code more flexible and smart to manage client side POST request.

We will cover the following topics in this video: ✔️ Adding POST API support to existing FastApi python application ✔️ Develop a Python Class to handle POST parameters directly ✔️ Process POST parameters and send response back to client

GitHub Resources: ✔️ https://github.com/prodramp/python-projects/tree/main/FastApiQuickStart

▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬ ✔️ (00:00) Content Introduction ✔️ (01:18) Content Topics ✔️ (02:08) Existing Python Project intro ✔️ (02:40) Adding POST handler ✔️ (04:18) Query Param Handler Class & Function ✔️ (08:30) Testing POST request with FastAPI Debugger ✔️ (09:56) Parsing POST request parameters ✔️ (12:30) Generating POST response based on query ✔️ (16:45) Calling POST api from cURL ✔️ (17:05) GitHub Repo for Source Code

Connect

✔️ Prodramp LLC (@prodramp) ✔️ Website - https://prodramp.com ✔️ LinkedIn - https://www.linkedin.com/company/prodramp ✔️ GitHub- https://github.com/prodramp/ ✔️ AngelList - https://angel.co/company/prodramp ✔️ Facebook - https://www.facebook.com/Prodramp

Content Creator: Avkash Chauhan (@avkashchauhan) ✔️ https://www.linkedin.com/in/avkashchauhan ✔️ https://twitter.com/avkashchauhan

Tags: #fastapi #python #ai #ml #lime #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #pytorch #datarobot #datahub #streamlit #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #kaggle #mapbox #lightgbm #xgboost #classification #dataengineering #pandas #keras #tensorflow #tensorboard #cnn #prodramp #avkashchauhan #LIME #modelexplanations #mli #xai ... https://www.youtube.com/watch?v=rB4aa5EHOAY