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Polars

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

What is it?

  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.