azure-devops-python-api
nutter
| azure-devops-python-api | nutter | |
|---|---|---|
| 4 | 2 | |
| 545 | 262 | |
| 1.8% | 2.3% | |
| 3.7 | 0.0 | |
| 9 days ago | 16 days ago | |
| Python | Python | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
azure-devops-python-api
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How do you navigate code when dealing with packages that return nested lists of custom objects for everything?
Examples: https://github.com/microsoft/azure-devops-python-api/blob/dev/azure-devops/azure/devops/_models.py
- Help extracting Work Items faster using Azure Devops API
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Is it possible to send complex commands with azure aks sdk?
Do you want to Azure DevOps Python API? Share more details to investigate this issue further. Learn how to call different APIs by viewing the samples in the Microsoft/azure-devops-python-samples repo. In addition, check the code examples about Python.
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Extract Capacities from ADO
For Python client library, refer to this link for more information.
nutter
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How much object orienteered do you use in your projects? Bonus points for integration and unit tests
From my experience OO gives you much more flexibility in designing your pipeline but you're risking to make the project way more complicated. The worst example I have seen is the Nutter library (https://github.com/microsoft/nutter), which uses endless classes that are all nested in each other. I once had a bug when using it, and it was a huge pain in the ass to understand what's going on when the code is executed. It is a very good example of what can go wrong when you're overusing OO. However, in one project, I carefully created few classes, just out of curiosity, and I was very impressed how it helped me to organize/structure my code. A functions hase a clear dedicated use, but a good class is like a Swiss army knife with an solid set of functionalities. If you know how to use it in a smart way, you are likely to increase the quality of your code, but the contrary is also very likely, especially when the team members are not ready for it.
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How do you test your pipelines?
- https://github.com/microsoft/nutter
What are some alternatives?
azure-sdk-for-python - This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
cicd-templates - Manage your Databricks deployments and CI with code.
recommenders - Best Practices on Recommendation Systems
dbt-databricks - A dbt adapter for Databricks.
anonfile-api - An unofficial Python Anonfiles.com API
dbx - 🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.
httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
lava - Microsoft Azure Exploitation Framework
terraform-provider-azuredevops - Terraform Azure DevOps provider
azure-devops-python-samples - Python samples for interacting with and managing Azure DevOps
fastdbfs - fastdbfs - An interactive command line client for Databricks DBFS.