Adding Class based POST request with FastApi Python ASGI Server

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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:

▬▬▬▬▬▬ ⏰ 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

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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
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Thanks for sharing it, got the full code working.

rudygoldberg
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How to render post json to form in .html page

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