Documentation

performance intermediate

Making Python ETL Pipelines Faster, Measured

Measured per-transform ETL results: windowed aggregates to 134.62x, merge joins to 0.64x — which transforms accelerate, which do not, and where the seam sits.

8 min read

performance intermediate

Python Log Processing Performance

Parsing log lines is already fast under CPython — measured 0.86x compiled. The wins live in the aggregation layer behind the parser; here is the measured map.

8 min read

performance intermediate

Reducing Python CPU Usage Without Rewriting

Profile first, compile what the profile points at: a measured workflow for lower Python CPU usage, the workloads where it works, and a labelled capacity model.

8 min read

performance beginner

Why Python Is Slow — and What Actually Helps

Bytecode dispatch, boxing and reference counting: where Python's time actually goes, the honest hierarchy of fixes, and what measurement says each one buys.

9 min read