azureml-fsspec 1.3.1

Description:

azuremlfsspec 1.3.1

Filesystem interface to Azure Machine Learning defined URIs
Getting started
This package can be installed using:
pip install azureml-fsspec

Examples
Accepted uri format is Azure Machcine Learning defined datastore uri: azureml://subscriptions/([^/]+)/resourcegroups/([^/]+)/workspaces/([^/]+)/datastores/([^/]+)/paths/([^/]+)
# load parquet file to pandas
import pandas
df = pandas.read_parquet('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}
/datastores/workspaceblobstore/paths/myfolder/mydata.parquet')

# load csv file to pandas
import pandas
df = pandas.read_csv('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}
/datastores/workspaceblobstore/paths/myfolder/mydata.csv')

# load parquet file to dask
import dask.dataframe as dd
df = dd.read_parquet('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}
/datastores/workspaceblobstore/paths/myfolder/mydata.parquet')

# load csv file to dask
import dask.dataframe as dd
df = dd.read_csv('azureml://subscriptions/{sub_id}/resourcegroups/{rs_group}/workspaces/{ws}
/datastores/workspaceblobstore/paths/myfolder/mydata.csv')

Release History
1.3.1 (02-05-2024)
Features Added

added support for using mlclient for authorization

1.3.0 (01-17-2024)
Features Added

added registry support for fsspec.

1.2.0 (08-14-2023)
Features Added

added auth dict support (SP and managedIdentity) for fsspec.
added user exception mapping

1.1.0 (06-01-2023)
Features Added

upload/download performance improvement

1.0.0 (04-07-2023)
Features Added

Added upload/download API
bugfix(root behavior)

0.1.0b1
Features Added

Initial public preview release of FileSystem for Azure Machine Learning defined datastore uri

0.1.0b2
Features Added

Fix release notes

0.1.0b3
Features Added

Add mode in open API
Add validation
Upgrade dataprep to 4.8