Register.py

from azureml.core import Dataset
import pandas as pd

# The default datastore is a blob storage container where datasets are stored
datastore = ws.get_default_datastore()

# Load some data into a dataframe (Note: Pandas is just one path into Azure ML)
df = pd.read_csv('my_data.csv')

# Register the dataset
ds = Dataset.Tabular.register_pandas_dataframe(
        dataframe=df, 
        name='DataSet-Name', 
        description='A description of my dataset',
        target=datastore
    )

# Display information about the dataset
print(ds.name + " v" + str(ds.version) + ' (ID: ' + ds.id + ")")