Source Control for Data Science - using Azure DevOps / VSTS with Jupyter Notebooks - Microsoft Community Hub
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Setting up a CI/CD data pipeline based on Azure DevOps, Azure Data Factory and Azure Databricks | by Gary Wang | Medium
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Parity with standard Jupyter Notebook - Support table inside bullet points · Issue #5 · Azure/ipynb-renderer · GitHub
![Maximizing Collaboration and Productivity: Azure DevOps and Databricks Pipelines - Beyond the Horizon... Maximizing Collaboration and Productivity: Azure DevOps and Databricks Pipelines - Beyond the Horizon...](https://i0.wp.com/rajanieshkaushikk.com/wp-content/uploads/2023/05/image-25.png?resize=1024%2C485&ssl=1)
Maximizing Collaboration and Productivity: Azure DevOps and Databricks Pipelines - Beyond the Horizon...
Source Control for Data Science - using Azure DevOps / VSTS with Jupyter Notebooks - Microsoft Community Hub
![Parity with standard Jupyter Notebook - Support table inside bullet points · Issue #5 · Azure/ipynb-renderer · GitHub Parity with standard Jupyter Notebook - Support table inside bullet points · Issue #5 · Azure/ipynb-renderer · GitHub](https://user-images.githubusercontent.com/6405919/93660985-2162e380-fa09-11ea-8db6-31cdfe3a0772.png)