Demonstrating PyIceberg

This video demonstrates how to use the PyIceberg CLI. 

For the demo, we use the docker-spark-iceberg setup that’s available here: https://github.com/tabular-io/docker-…

First, we create a table using Spark through the Jupyter notebook.  

Next, we browse the catalog using the `pyiceberg` CLI. We install pyiceberg from pip using `pip install “pyiceberg[pyarrow]”`. 

Then we demonstrate several commands like list, describe, and files to retrieve information about the iceberg tables. 

In the end, we show how easy it is to accidentally drop a table using the CLI.