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YouTube

Build Real-World Python Microservices with Continuous Delivery From Zero

Pragmatic AI Labs via YouTube

Overview

Dive into a comprehensive tutorial on building real-world Python microservices with continuous delivery. Learn to scaffold a project, set up a virtual environment, and create a Makefile. Master GitHub Actions, format code with Black, and implement testing using Pytest. Explore CLI building with Python Fire, develop a Wikipedia scraper, and debug code in GitHub Codespaces. Construct a FastAPI microservice, integrate NLP services, and containerize your application. Finally, set up AWS CodeBuild for pushing to ECR and implement continuous delivery with AWS App Runner. Gain practical skills in Python development, DevOps practices, and cloud-based deployment throughout this hands-on learning experience.

Syllabus

Intro

Scaffolding a project in Python

Setup Virtualenv

Building Makefile

Setup Github Actions

Formatting code with Python Black

Test code with Pytest and Pytest Coverage

Using Python Fire to build CLI

Write Wikipedia scraper

Use IPython to interact and debug code in Github Codespaces

Pinning FastAPI version number

Building FastAPI Microservice

Using Text blob NLP service to parse phrases

Debugging broken code

Building container

Setup AWS Code Build push to ECR Elastic Container Registry

Setup AWS Code Build to ECR to AWS App Runner Continuous Delivery

Taught by

Pragmatic AI Labs

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