this post was submitted on 16 Mar 2025
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Wow.
I've been processing a couple of billion rows of data on my machine, the fans didn't even come on. WTF are they teaching "experts" these days, or has Elmo only hired people who claim that they can "wrangle data" and say "yes" ?
60k rows is generally very usable with even wide tables in row formats.
I’ve had pandas work with 1M plus rows with 100 columns in memory just fine.
After 1M rows move on to something better like Dask, polars, spark, or literally any DB.
The first thing I’d do with whatever data they’re running into issues with is rewrite it as partitioned and sorted parquet.
My go-to tool of late is
duckdb
, comes with binaries for most platforms, works out of the box, loads any number of database formats and is FAST.