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Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-access-data-interactive.md
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@@ -69,9 +69,11 @@ uri = f'azureml://subscriptions/{subscription}/resourcegroups/{resource_group}/w
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These Datastore URIs are a known implementation of [Filesystem spec](https://filesystem-spec.readthedocs.io/en/latest/index.html) (`fsspec`): A unified pythonic interface to local, remote and embedded file systems and bytes storage.
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You can pip install the `azureml-fsspec`package and its dependency `azureml-dataprep` package. And then you can use the Azure Machine Learning Datastore implementation of `fsspec`.
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The Azure Machine Learning Datastore implementation of `fsspec` automatically handles credential/identity passthrough used by the Azure Machine Learning datastore. This means you don't need to expose account keys in your scripts or do additional sign-in procedures on a compute instance.
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For example, you can directly use Datastore URIs in Pandas - below is an example of reading a CSV file:
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```python
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