Demonstrating PyIceberg

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]"`.

For a complete overview of all the installation options, please refer to the documentation:

Next 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.