Python on Azure
Build and deploy your Python apps in the cloud—and go further with AI and data science
Why Python on Azure?
Build Python web apps in the cloud
Build better web apps, faster, with our managed application platform optimized for Python. Connect your apps to data using Azure services for popular relational and non-relational databases.
Flexible platform for AI and machine learning with Python
Quickly and easily build, train, host, and deploy models from any Python environment with Azure services for data science and machine learning. Or bring in pre-built AI solutions to deliver cutting-edge experiences to your Python apps.
Our tools for Python development—or yours
Build and debug your Python apps with Visual Studio Code, and push your apps to the cloud with a few clicks. Then try our cloud-based Azure DevOps and adopt a full DevOps lifecycle for your Python apps. Or bring the tools you’re used to.
See what's possible
Focus on your application’s code, not on infrastructure. Run Django and Flask apps on our serverless platform with Azure Web Apps on Linux or Azure Functions while Azure takes care of the underlying infrastructure.
Azure offers both relational and non-relational databases as managed services. Easily add these to your Python apps, choosing from among managed solutions for PostgreSQL and MySQL, Redis, Azure Cosmos DB (compatible with MongoDB), and other services.
AI and machine learning
Build, train, and deploy your models with Azure Machine Learning using the Python SDK, or tap into pre-built intelligent APIs for vision, speech, language, knowledge, and search, with a few lines of code.
Data scientists working with Python can use familiar tools. Get started quickly with a fully managed Jupyter notebook using Azure Notebooks, or run your experiments with Data Science Virtual Machines for a user-friendly environment that provides popular tools for data exploration, modeling, and development.
Dev tools and DevOps
Try Visual Studio Code, our popular editor for building and debugging Python apps. It’s free and open-source, and runs on macOS, Linux, and Windows. With many powerful extensions, you can deploy and remotely debug your apps in the cloud with just a few clicks, without leaving the editor.
Then host your private Git repositories, run CI/CD pipelines on Linux, and plan your work with agile Azure Boards using cloud-based Azure DevOps—always free for individuals and small teams up to five.
Loved by Pythonistas
Azure Friday: Python
Learn about Azure and Visual Studio Code with Carlton Gibson, Django Foundation Fellow, and Nina Zakharenko, Cloud Developer Advocate at Microsoft.Watch the video series
Python for Beginners
To foster and help grow the Python community, we want to make sure we give everyone the foundation on programming in Python, starting from common everyday code and scenarios in this YouTube playlist of 44-videos.