the portable Python dataframe library
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Lightweight and extensible compatibility layer between dataframe libraries!
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Jupyter magics and kernels for working with remote Spark clusters
PySpark test helper methods with beautiful error messages
pyspark methods to enhance developer productivity 📣 👯 🎉
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Helpers & syntactic sugar for PySpark.