Polars is an alternative to pandas that is designed to have better performance.

1. patient_data.ipynb: Jupyter notebook that explores functional differences between pandas and polars. It replicates the notebook in the pandas directory with the same name.
2. polars_large_data_benchmark.ipynb: Jupyter notebook that compares the performance of polars and pandas on large data sets.
3. create_csv_data.py: Python script to generate one or more large CSV files for benchmarking.
4. create_csv_data.slurm: Slurm script to run create_csv_data.py on a cluster.
5. polars_performance.ipynb: Jupyter notebook that compares the performance of polars and pandas on a variety of operations.
6. data: Directory containing the data used in the notebook.