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articles/machine-learning/tutorial-pipeline-python-sdk.md

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@@ -150,7 +150,7 @@ First, create a directory to store the file in.
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Now, create the file in the dependencies directory.
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[!Notebook-python[] (~/azureml-examples-main/tutorials/e2e-ds-experience/e2e-ml-workflow.ipynb?name=conda.yml)]
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[!Notebook-python[] (~/azureml-examples-main/tutorials/e2e-ds-experience/e2e-ml-workflow.ipynb?name=conda.yaml)]
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The specification contains some usual packages, that you'll use in your pipeline (numpy, pip), together with some Azure Machine Learning specific packages (azureml-defaults, azureml-mlflow).
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