index.yml

### YamlMime:Landing

title: Azure for Python Developers
summary: |
  You can deploy your Python applications to Azure in various environments, including web apps, serverless functions, containers, and machine learning models. Azure offers flexible hosting options to suit different architectural and scalability needs. To interact with Azure services programmatically, use the Azure SDK for Python. This set of libraries streamlines tasks such as authentication, resource management, and service integration—making it easier to build secure, scalable cloud applications with Python.

metadata:
  title: Azure for Python developers
  description: Get started developing with Python on Azure using services like Azure Functions, App Service, Container Apps, Machine Learning, Storage, Database for PostgreSQL, and the Azure SDK for Python.
  ms.date: 06/02/2025
  ms.topic: landing-page
  ms.collection: collection
  ms.service: azure-python
  ms.devlang: python
  ms.custom: devx-track-python, py-fresh-zinc

landingContent:
  - title: Azure libraries (SDK)
    linkLists:
      - linkListType: get-started
        links:
          - text: Get started
            url: get-started.md
          - text: Get to know the Azure libraries
            url: sdk/azure-sdk-overview.md
          - text: Learn library usage patterns
            url: sdk/azure-sdk-library-usage-patterns.md
          - text: Authenticate with Azure services
            url: sdk/authentication-overview.md
  - title: Web apps
    linkLists:
      - linkListType: tutorial
        links:
          - text: Quickly create and deploy new Django / Flask / FastAPI apps
            url: ./quickstart-python-web-azd-templates.md
          - text: Deploy a Django or Flask Web App
            url: /azure/app-service/quickstart-python?toc=/azure/developer/python/toc.json&bc=/azure/developer/python/breadcrumb/toc.json
          - text: Deploy Web App with PostgreSQL
            url: /azure/app-service/tutorial-python-postgresql-app?toc=/azure/developer/python/toc.json&bc=/azure/developer/python/breadcrumb/toc.json
          - text: Deploy Web App with Managed Identity
            url: ./tutorial-python-managed-identity-cli.md
          - text: Deploy using GitHub Actions
            url: ./python-web-app-github-actions-app-service.md
  - title: AI
    linkLists:
      - linkListType: quickstart
        links:
          - text: Develop using Foundry Tools
            url: ./azure-ai-for-python-developers.md
          - text: Python enterprise RAG chat sample
            url: ./get-started-app-chat-template.md
  - title: Containers
    linkLists:
      - linkListType: tutorial
        links:
          - text: Python containers overview
            url: ./containers-in-azure-overview-python.md
          - text: Deploy to App Service
            url: ./tutorial-containerize-deploy-python-web-app-azure-01.md
          - text: Deploy to Container Apps
            url: ./tutorial-deploy-python-web-app-azure-container-apps-01.md
          - text: Deploy a Kubernetes cluster
            url: /azure/aks/learn/quick-kubernetes-deploy-cli?toc=/azure/developer/python/toc.json&bc=/azure/developer/python/breadcrumb/toc.json
  - title: Data and storage
    linkLists:
      - linkListType: quickstart
        links: 
          - text: SQL databases
            url: quickstarts-data-solutions.md#databases
          - text: Tables, blobs, files, NoSQL
            url: quickstarts-data-solutions.md#nosql-blobs-tables-files-graphs-and-caches
          - text: Big data and analytics
            url: quickstarts-data-solutions.md#big-data-and-analytics
  - title: Machine learning
    linkLists:      
      - linkListType: how-to-guide
        links:
          - text: Create an ML experiment
            url: /azure/machine-learning/quickstart-create-resources
          - text: Train a prediction model
            url: /azure/machine-learning/tutorial-azure-ml-in-a-day
          - text: Create ML pipelines
            url: /azure/machine-learning/tutorial-pipeline-python-sdk
          - text: Use ready-made Foundry Tools (face, speech, text, image, etc.)
            url: quickstarts-cognitive-services.md
          - text: Serverless, Cloud ETL
            url: ./tutorial-deploy-azure-cloud-python-etl-01-overview.md
  - title: Serverless functions
    linkLists:
      - linkListType: how-to-guide
        links:
          - text: Deploy using Visual Studio Code
            url: /azure/azure-functions/create-first-function-vs-code-python?toc=/azure/developer/python/toc.json&bc=/azure/developer/python/breadcrumb/toc.json
          - text: Deploy using the command line
            url: /azure/azure-functions/create-first-function-cli-python?toc=/azure/developer/python/toc.json&bc=/azure/developer/python/breadcrumb/toc.json
          - text: Connect to storage using Visual Studio Code
            url: /azure/azure-functions/functions-add-output-binding-storage-queue-vs-code?pivots=programming-language-python&toc=/azure/developer/python/toc.json&bc=/azure/developer/python/breadcrumb/toc.json
          - text: Connect to storage using the command line
            url: /azure/azure-functions/functions-add-output-binding-storage-queue-cli?pivots=programming-language-python&toc=/azure/developer/python/toc.json&bc=/azure/developer/python/breadcrumb/toc.json
  - title: Developer tools
    linkLists:  
      - linkListType: get-started
        links: 
          - text: Visual Studio Code (IDE)
            url: https://code.visualstudio.com/docs/languages/python
          - text: Azure Command-Line Interface (CLI)
            url: /cli/azure/install-azure-cli
          - text: Windows Subsystem for Linux (WSL)
            url: /windows/wsl/install-win10
          - text: Visual Studio (for Python/C++ development)
            url: /visualstudio/python/installation