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Pyodide added Polars support recently, should enable a huge performance uptick for Python if we decide to use it: Pyodide PR for Polars
A few possibilities:
q.cells() - use Polars under the hood for operations and convert to DataFrame in last step by default
have an option on q.cells() to allow Polars instead of Pandas to give users a huge performance uptick (enabling the option would enforce Polars DataFrames to that user's initial return type)
Regardless of whether we add the Polars instead of Pandas option as a parameter in q.cells() we can use Polars in the intermediate steps.
To be explored during upcoming perf work.
The text was updated successfully, but these errors were encountered:
Pyodide added Polars support recently, should enable a huge performance uptick for Python if we decide to use it: Pyodide PR for Polars
A few possibilities:
Regardless of whether we add the Polars instead of Pandas option as a parameter in q.cells() we can use Polars in the intermediate steps.
To be explored during upcoming perf work.
The text was updated successfully, but these errors were encountered: