Publisher's Synopsis
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.
