It sounds like you might be inquiring about using Python with Azure DevOps. Azure DevOps provides a set of cloud-hosted collaboration tools that work with your existing IDE or editor, and Python can be integrated into the development pipeline.

You can use Azure DevOps to create a CI/CD (Continuous Integration/Continuous Deployment) pipeline for your Python applications. Here’s a brief guide on how you can set it up:

1. Create a Project: Start by creating a new project in Azure DevOps.

2. Create a Repository: You can use Azure Repos or GitHub for your source code.

3. Create a Pipeline: In Azure DevOps, go to the Pipelines section and create a new pipeline. You can choose where your code is (Azure Repos, GitHub, etc.) and then select the Python template.

4. Configure the Pipeline: The Python template provides a good starting point, but you might need to modify it to suit your needs. You can define build, test, and deployment steps using YAML.

5. Trigger the Pipeline: Once you have your pipeline set up, you can trigger it manually, or you can set up automated triggers based on code changes or other events.

6. Monitor Builds and Releases: Azure DevOps provides comprehensive logs and tools for monitoring your builds and releases.

Here is a simple example of a YAML file that can be used to build and test a Python application:

You can customize this YAML file according to your project requirements.