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Abstract: Dataframes first appeared in the statistic
al 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 P
ython DataFrames: Polars.
There are no downsides to using it instea
d 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 Pol
ars 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 cul
ture towards a wider adoption of Polars instead of pandas for DataFrames i
n Python.