Python

A real-world case study of rewriting a Python data pipeline with Rust + DuckDB. From 3-hour daily ETL jobs to 4-minute runs, memory usage dropped from 12GB to 600MB, and server costs cut by two-thirds.

Rust performance optimization in practice: I watched my Rust rewrite get crushed by Python. The problem was data structure choice.

Python 3.15 introduces a native JIT compiler that delivers 20% performance improvements without changing a single line of code. Here’s how to enable this experimental feature.

Clarify the CPU/GPU split in PyTorch inference and walk through overlapping techniques that slash latency.