Using Polars in a Pandas world
Polars is a dataframe-based library that can be faster, more memory efficient, and often simpler to use than Pandas. It’s also much newer, and correspondingly less popular. In November 2023: Polars had ~2.6 million downloads from PyPI. Pandas had ~140 million downloads! Because of Pandas’ popularity and decade and a half of availability, there are many third-party libraries with built-in support for Pandas, and others that specifically extend Pandas. Many plotting and visualization libraries will accept Pandas dataframes as an […]
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