How to build a REST API with Python | Deploy to Google Cloud

In this Python REST API - Flask - Sentiment Analysis - Google Cloud Platform tutorial you will learn :
🟢 how to use NLTK and 'Vader' to code sentiment analysis
🟢 how to build a Python Flask REST API
🟢 how to deploy to Google Cloud Run
We will start by building the sentiment analysis code, and take input from a GET request.
At the end of this video you will have a fully functioning REST API with python and flask and access it as a resource from the world wide web.

📍 Check out these amazing FastAPI courses 📍

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-- chapters
0:00 Intro
3:20 Sentiment Analysis Repo - initial code demo
14:15 testing refactored code
18:12 Google Cloud Platform - Cloud Run
20:11 deploying from vscode
28:52 testing the new deployment via Service URL
31:44 testing the API endpoint via a Python script with requests
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Google Cloud Deploy to Cloud Run :
(Deploying to Cloud Run from source)

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Note: this is NOT a CRUD API - watch to find out the important difference.
🟥 "A REST API should not be designed around exposing the domain/data model as CRUD-over-http" (Stackoverflow)

I also show how to refcator code to use Flask RESTful : Flask-RESTful is an extension for Flask that adds support for quickly building REST APIs.

Visit redandgreen blog for more Tutorials
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Code available on GitHub - Includes the all important Dockerfile ☑️

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Thumbs up yeah? (cos Algos..)

Flask API
Full Project
Sentiment Analysis
Python REST API code
Python Flask Project Full Code
Deploy REST API to Google Cloud
VADER Sentiment Analyzer
NLTK
#Flask #RESTAPITutorial #python

[classictablet]

These kind of short video connecting different tools are incredibly useful. Amazing work! Do more.

[rodrigo]

This is a really good tutorial full of valuable information, thanks Dr Pi. New subscriber.

[Lepredooo]

Thank you, very helpful! And I like your glasses