Python Polars Cheat Sheet: Fast DataFrames for Busy Engineers
Polars hits the sweet spot between Pandas’ ease and Spark’s scale. If you’ve ever waited on a groupby or cursed a memory error, this cheat sheet is…
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Writing a native Polars plugin in Rust: PII masking with no per-row Python
A column of payment notes will teach you where Python spends its time. Mine held free text: "charged card 4111 1111 1111 1111", "cliente RUT 12.345.…
Format-preserving encryption for PII in Polars: FF3-1 vs FF1 for RUT, CPF, and DNI
You need to hand a dataset of Chilean RUTs to an outside analytics team, who will join it against other tables by identifier, run the cohort analysi…
Algorithmic Entity Resolution in Music Metadata
In the global streaming economy, Spotify, Apple Music, and other DSPs process billions of plays daily. Behind this massive transaction layer lies a…
PII masking in Polars: MaskOps 2.0, and two metrics that lied to me
MaskOps 2.0 shipped this week. Before I told anyone, I looked at my own numbers. Two of them were lying to me, in opposite directions. MaskOps is a…
I built a native C# DataFrame engine to rival Python Polars (it's actually faster on some things)
Here is a draft for DEV.to. It is structured exactly how developers love to read articles: a quick introduction, the core architectural philosophy,…