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memory efficient data science #17

@peterstol

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@peterstol

common problem: I need a bigger memory as my data does not fit and I get memory errors.

(bad) solution: buy a bigger machine
solutions (python) oa: chunking, lazy API (polars vs pandas), parquet instead of cvs,...

ref:
https://pythonspeed.com/articles/polars-memory-pandas/

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