Polishing Python: Preventing Performance Corrosion with Rust
summary
Compares Python and Rust by porting a pure‑Python payment handler into PyO3 and packaging with Maturin and a Rust crate for parallelism (rayon). Benchmarks run 3,000 customers × 10,000 payments = 30 million transactions: baseline Python averages ~2.5 minutes, Rust single‑thread is ~30% faster, Rust + parallelism falls to ~1:06 (~55% speedup). Implements moving average, standard deviation and 95% VaR in Rust; it works but payoff appears only for large, CPU‑bound batches and adds build and maintenance complexity.
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chapters (12)
- 0:00Python and Rust performance
- 4:40Python simplicity costs
- 7:25Rust speed and safety
- 14:50Python-Rust integration
- 17:18Payment handler case study
- 22:16Python to Rust structs
- 25:31Python vs Rust benchmarks
- 27:58Rust challenges
- 29:02Rust integration worth it
- 30:07Q&A on abstractions
- 33:01Use cases and limits
- 34:06Migration approaches
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