chore: import upstream snapshot with attribution

examples/tutorials/run-flow-with-pipeline/components/data-prep/data-prep.py

@@ -0,0 +1,21 @@
+# Copyright (c) Microsoft. All rights reserved.
+# Licensed under the MIT license.
+
+import os
+import pandas as pd
+import argparse
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--input_data_file", type=str)
+parser.add_argument("--output_data_folder", type=str)
+
+args, _ = parser.parse_known_args()
+
+input_df = pd.read_json(args.input_data_file, lines=True)
+
+# data preparation, e.g. data sampling, data cleaning, etc.
+processed_data = input_df.sample(n=20, replace=True, random_state=1)
+
+# export data into output folder
+output_file_path = os.path.join(args.output_data_folder, "processed_data.csv")
+processed_data.to_csv(output_file_path, index=False, header=True)