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debugging code, see the [Python Hello World Tutorial](https://code.visualstudio.com/docs/languages/python/docs/python/python-tutorial) +- For a walkthrough of editing, running, and debugging code, see the [Python Hello World Tutorial](https://code.visualstudio.com/docs/python/python-tutorial) > **Tip**: Check out the [IntelliCode extension for VS Code (preview)](https://go.microsoft.com/fwlink/?linkid=2006060). IntelliCode provides a set of AI-assisted capabilities for IntelliSense in Python, such as inferring the most relevant auto-completions based on the current code context. diff --git a/docs/train-models-aml-vscode.md b/docs/train-models-aml-vscode.md index 31f0d33..6445d02 100644 --- a/docs/train-models-aml-vscode.md +++ b/docs/train-models-aml-vscode.md @@ -3,7 +3,7 @@ Azure Machine Learning provides support for running experiments locally and on r ## Running experiments with Azure Machine Learning -Using Azure Machine Learning in VS Code enables you to rapidly iterate on your code, step through and debug, and use your source code control solution of choice. For a walkthrough of editing, running, and debugging code locally, see the [Python Hello World Tutorial](https://code.visualstudio.com/docs/languages/python/docs/python/python-tutorial) +Using Azure Machine Learning in VS Code enables you to rapidly iterate on your code, step through and debug, and use your source code control solution of choice. For a walkthrough of editing, running, and debugging code locally, see the [Python Hello World Tutorial](https://code.visualstudio.com/docs/python/python-tutorial) To run your experiment with Azure Machine Learning:

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