### YamlMime:Landing title: Azure for Python Developers summary: | 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. metadata: title: Azure for Python developers description: Get started developing with Python and Azure using Azure Functions, Azure App Service, Azure Machine Learning, Azure Storage, and the Azure SDK for Python. author: kraigb ms.author: kraigb ms.date: 08/26/2021 ms.topic: landing-page ms.collection: collection ms.technology: azure ms.product: azure-python ms.devlang: python ms.custom: devx-track-python landingContent: - 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 - text: Deploy using the command line url: /azure/azure-functions/create-first-function-cli-python - text: Connect to storage using Visual Studio Code url: /azure/azure-functions/functions-add-output-binding-storage-queue-vs-code?pivots=programming-language-python - text: Connect to storage using the command line url: /azure/azure-functions/functions-add-output-binding-storage-queue-cli?tabs=bash%2Cbrowser&pivots=programming-language-python - title: Web apps linkLists: - linkListType: deploy links: - text: Flask using Visual Studio Code url: ./configure-python-web-app-local-environment.md - text: Flask using CLI url: /azure/app-service/quickstart-python?toc=/azure/developer/python/toc.json&bc=/azure/developer/breadcrumb/toc.json - text: Python (Django or Flask) + PostgreSQL url: /azure/app-service/tutorial-python-postgresql-app?toc=/azure/developer/python/toc.json&bc=/azure/developer/breadcrumb/toc.json - text: Containers using Visual Studio Code url: tutorial-deploy-containers-01.md - text: Static sites using Azure Storage url: how-to-create-static-sites.md - text: CI/CD pipeline url: /azure/devops/pipelines/ecosystems/python-webapp - title: Data and storage linkLists: - linkListType: deploy links: - text: SQL databases url: quickstarts-data-solutions.md#sql-databases - text: Tables, blobs, files, NoSQL url: quickstarts-data-solutions.md#tables-blobs-files-nosql - 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/tutorial-1st-experiment-sdk-setup - text: Train an ML model url: /azure/machine-learning/tutorial-1st-experiment-sdk-train - text: Train image classification url: /azure/machine-learning/tutorial-train-models-with-aml - text: Use prebuilt AI services (face, speech, text, image, etc.) url: quickstarts-cognitive-services.md - text: More... url: quickstarts-machine-learning.md - title: Azure libraries (SDK) linkLists: - linkListType: get-started links: - text: Cloud development overview url: cloud-development-overview.md - text: Set up your local dev environment url: configure-local-development-environment.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: 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