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How to Call Rust from Python | Towards Data Science
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How to Call Rust from Python | Towards Data Science

Towards Data Science·Thomas Reid·about 1 month ago
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, Python is fast enough — especially when you lean on NumPy, Polars, or other well‑tuned libraries written in compiled languages like C. But now and then, you end up with a hot loop that won’t vectorise: maybe you’re walking a list of strings to clean them up, or you’re parsing messy text where each character matters. You profile it, you confirm the culprit, and you stare at a for loop that eats half your runtime. This is the moment Rust shines. Rust gives you predictable performance, tight control over memory, and fearless concurrency, without the hassle of manual memory management. If you’re thinking — not another language to learn!, the good news is you don’t need to abandon Python to use Rust. You can keep your orchestration, your notebooks, your tests — and move only the tiny, boring inner loops to Rust. This keeps the Rust learning curve to an absolute minimum.…

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