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Abstract: Dataframes first appeared in the statistical programming languages S and later R. They were ported to Python in 2008 with the pandas library. There is now a new and much better library for Python DataFrames: Polars.

There are no downsides to using it instead of pandas, beside the effort of changing habits. For new users who don’t have habits yet, there are just no downsides. Yet, all Python intro courses still teach pandas.

In this webinar, I will not teach Polars and its syntax. Instead I will demo why it is better than pandas with a series of examples.

Ultimately, my goal is to help shift the culture towards a wider adoption of Polars instead of pandas for DataFrames in Python.