Azure for Python Developers

Deploy your Python code to Azure for web apps, serverless apps, containers, and machine learning models. Take advantage of the Azure libraries (SDK) for Python to programmatically access the full range of Azure services including storage, databases, pre-built AI capabilities, and much more.

Serverless functions

How-To Guide

• Deploy using Visual Studio Code
• Deploy using the command line
• Connect to storage using Visual Studio Code
• Connect to storage using the command line

Web apps

Tutorial

• Django / Flask Web App
• Django / Flask Web App + PostgreSQL
• Django / Flask Web App + Managed Identity
• GitHub Actions
• CI/CD pipeline
• Logs

Containers

Tutorial

• Python containers overview
• Deploy to App Service
• Deploy to Container Apps
• Deploy a Kubernetes cluster

Data and storage

Quickstart

• SQL databases
• Tables, blobs, files, NoSQL
• Big data and analytics

Machine learning

How-To Guide

• Create an ML experiment
• Train a prediction model
• Create ML pipelines
• Use ready-made AI services (face, speech, text, image, etc.)
• Serverless, Cloud ETL

Azure libraries (SDK)

Get Started

• Cloud development overview
• Set up your local dev environment
• Get to know the Azure libraries
• Learn library usage patterns
• Authenticate with Azure services

Developer tools

Get Started

• Visual Studio Code (IDE)
• Azure Command-Line Interface (CLI)
• Windows Subsystem for Linux (WSL)
• Visual Studio (for Python/C++ development)