Demonstrating PyIceberg

In this video, we demonstrate 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-spark-iceberg

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:
https://py.iceberg.apache.org/

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.

If there are any questions, please reach out using the Iceberg Slack: https://iceberg.apache.org/community/

or open an issue or pull request on Github https://github.com/apache/iceberg