Tag: data

Calculate running totals, rankings, and moving averages efficiently with SQL window functions.

Bypass the GIL and utilize all CPU cores for compute-intensive tasks.

Cache expensive function results automatically with the built-in cache decorator.

Switch to PyArrow-backed DataFrames for faster operations and lower memory usage.

Process large datasets without loading everything into memory using Python generators.

Implement semantic caching to avoid redundant LLM calls and reduce API costs.