Tag: Python

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.

Something remarkable happened in the Python ecosystem over the past […]

Share common code and dependencies across Lambda functions to reduce deployment size.