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Data Science with Rust - Nyomtatható verzió +- HHWForum.hu (https://hhwforum.hu) +-- Fórum: Letöltések (https://hhwforum.hu/forumdisplay.php?fid=9) +--- Fórum: E-könyvek (https://hhwforum.hu/forumdisplay.php?fid=57) +---- Fórum: Külföldi könyvek (https://hhwforum.hu/forumdisplay.php?fid=64) +---- Téma: Data Science with Rust (/showthread.php?tid=280524) |
RE: Data Science with Rust - book24h - 2025-04-14 ![]() Free Download Data Science with Rust by Hayden Van Der Post, Reactive Publishing, Alice Schwartz English | March 28, 2025 | ISBN: N/A | ASIN: B0F2XRCL1C | 416 pages | EPUB | 0.54 Mb 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 ArrowBuild type-safe, blazing-fast data pipelines using idiomatic RustLeverage multithreading and async computation for real-time analyticsCreate machine learning workflows using Linfa, Tch-rs, and Rust-NNDeploy low-latency data apps and microservices that scaleWhether 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. Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.Links are Interchangeable - Single Extraction |