This README provides instructions for setting up the lab environment for the Snowpark Hands-On Lab.

Before starting the lab setup, ensure you have the following installed:

• Anaconda or Miniconda
• Visual Studio Code (VS Code)

Snowflake Lab Environment: https://app.snowflake.com/sfsenorthamerica/ctripp_hol/

To create the conda environment for the lab:

Open a terminal / cmd / powershell window, navigate to this directory and run:

conda env create -f environment.yaml

NOTE: If you need to delete and recreate the environment, you can use:

conda env remove -n snowparkml 

1. Open the hol_auth.json file in VS Code

2. Replace X with your given user number (USERX becomes USER0 for example)

3. Enter the password given to you by the instructor

4. Save the file

1. Open VS Code.

2. Open the End-to-End Data Science using Snowpark - Easy Path.ipynb notebook.

3. In the top right corner of the notebook, select the snowparkml kernel.

4. Follow the instructor through the guided lab!

WAIT UNTIL THE INSTRUCTOR PROMPTS YOU TO CREATE THE STREAMLIT SETUP BEFORE PROCEEDING

1. Create a new Streamlit in Snowflake (SiS) app.

2. Replace the existing code in the app with the code from SiS_application.py.

3. Update the schema name in the code by doing a find and replace on schema0 to use your schema name.

4. In the SiS code window, click on the "Packages" drop-down and add the following packages:

   • pydeck
   • snowpark-ml-python

5. Run the SiS application.

You should now have the lab environment set up and ready to go. Enjoy the Snowpark Hands-On Lab!