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This is a new repository for Python for DevOps Lecture/Workshop

1. Create a Python Virtual Environment python3 -m venv ~/.venv or virtualenv ~/.venv
2. Create empty files: Makefile, requirements.txt, main.py, Dockerfile, mylib/__init__.py
3. Populate Makefile
4. Setup Continuous Integration, i.e. check code for issues like lint errors

5. Build cli using Python Fire library ./cli-fire.py --help to test logic

Learn to build real-world Python Microservices that enable Continuous Delivery. This is a cool walkthrough because it is very similar to what someone would do at work building NLP Microservices on Amazon Web Services (AWS)

• 00:00 Intro
• 05:00 Scaffolding a project in Python
• 08:00 Setup Virtualenv
• 13:10 Building Makefile
• 24:00 Setup Github Actions
• 29:00 Formatting code with Python Black
• 45:09 Test code with Pytest and Pytest Coverage
• 50:30 Using Python Fire to build CLI
• 59:30 Write Wikipedia scraper
• 1:02:00 Use IPython to interact and debug code in Github Codespaces
• 1:08:00 Pinning FastAPI version number
• 1:12:00 Building FastAPI Microservice
• 1:18:00 Using Text blob NLP service to parse phrases
• 1:29:00 Debugging broken code
• 1:34:00 Building container
• 1:54:00 Setup AWS Code Build push to ECR (Elastic Container Registry)
• 2:02:00 Setup AWS Code Build to ECR to AWS App Runner Continuous Delivery

Watch on Pragmatic AI Labs YouTube: https://lnkd.in/e5xHfaMG Watch on O'Reilly Media: https://lnkd.in/eAECgyCi