Data Science with Rust (The Language of Data Science Book 1)

Reactive Publishing
Data Science with Rust
By Hayden Van Der Post

Precision. Speed. Safety. Rust isn’t just a systems language—it’s a powerful new weapon in the data scientist’s toolkit.

In Data Science with Rust, Hayden Van Der Post delivers a cutting-edge guide to building scalable, high-performance data systems using Rust’s modern, memory-safe architecture. Designed for developers and data professionals who demand more than what Python and R can offer, this book shows you how to unlock next-level performance without sacrificing readability or reliability.

Inside, you'll learn to:

Handle and transform data efficiently with Polars and Arrow

Build type-safe, blazing-fast data pipelines using idiomatic Rust

Leverage multithreading and async computation for real-time analytics

Create machine learning workflows using Linfa, Tch-rs, and Rust-NN

Deploy low-latency data apps and microservices that scale

Whether you're working in finance, scientific computing, AI, or backend analytics, this book empowers you to own every byte of your pipeline—from raw ingestion to model inference—with full control and zero garbage collection overhead.