big_data.rst alvis working polars

Author: bclaremar

docs/day3/big_data.rst

@@ -910,18 +910,23 @@ Set up the environment
             ml xarray/2024.11.0-gfbf-2024a dask/2024.9.1-gfbf-2024a
             ml Jupyter-bundle/20250530-GCCcore-13.3.0
             
-
          - This will load matplotlib & SciPy-bundle on the fly!
-         - Pandas, like NumPy, has typically been part of the SciPy-bundle module since 2020. Use ``ml spider SciPy-bundle`` to see which versions are available and how to load them.
+
+         - Make a virtual environment
+
+         .. code-block:: console
+
+            virtualenv polarsvenv --system-site-packages
+            . polarsvenv/bin/activate
+            pip install polars
+            python -m ipykernel install --user --name=polarsvenv --display-name="Test"
 
          - Then start jupyter-lab and a web browser will automatically open
 
          .. code-block:: console
 
             jupyter-lab
 
-        - Installing ``polars`` has not worked yet by instructor. May update this if I manage!
-
 .. challenge:: Chunk sizes in Dask
 
    - The following example calculate the mean value of a random generated array.