This project (currently) contains a single Jupyter Notebook designed to illustrate using PyMongoArrow to work with MongoDB query results using Pandas and Polars.
The [Jupyter Notebook] is mostly self-documenting,
but before you can run the notebook, you need to set an environment variable.
Set MDB_URI to contain a connection string pointing to a sample_sales database.
This dataset is one of the sample datasets provided by MongoDB that you can import into your Atlas Cluster.
Once the environment variable is set, you can start Jupyter with python -m jupyter notebook.
[Jupyter Notebook]: PyMongoArrow Example.ipynb