Название: Data Science with RustАвтор: Hayden Van Der Post
Издательство: Reactive Publishing
Серия: The Language of Data Science Book 1
Год: 2025
Страниц: 416
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
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.
Imagine a programming language that combines the raw performance of low-level coding with the high-level expressiveness needed to solve complex data problems. Rust is that language, offering an unmatched blend of safety, concurrency, and efficiency. Whether you’re an aspiring data scientist, a seasoned researcher, or a tech enthusiast eager to explore new paradigms, the applications of Rust in the realm of data science are vast and exciting. In these pages, you’ll embark on a thoughtful, step-by-step exploration—from the fundamentals of Rust programming to its advanced capabilities, all contextualized in Data Science challenges.
This book has been meticulously structured to ensure that every concept builds upon the last: • In our opening chapter, you’ll discover why Rust is becoming the language of choice for data science—and how to set up your environment for success. • As you progress through the fundamentals, you’ll grasp core programming concepts with practical examples that demystify variables, control flows, and error handling in a language as strict as it is powerful. • We then deepen the dive with advanced Rust concepts, equipping you with the tools to build robust, high-performance applications. • The journey doesn’t stop at programming: we bridge the gap between theory and application in data science with dedicated chapters on statistical analysis, machine learning, and data visualization using Rust’s emerging libraries and techniques. • Real-world case studies offer you insight into how Rust can be seamlessly integrated into data pipelines, big data processing, and innovative industry applications—from financial analytics to IoT and bioinformatics. • And as you near the end, we gaze into the future, discussing upcoming Rust features, advanced performance tuning, and ethical considerations in data science, ensuring that you remain at the cutting edge.
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.
Contents:
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