Data Science with Rust

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.

If you're serious about performance and ready to rethink data science from the ground up-Rust is the future.
This is where it begins.