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### 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