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Systems Programming for Analysts: A Practical Guide to Rust, C++, and Memory-Safe Performance: Mastering Rust, C++, and High-Performance Code for Data-Driven Systems
Reactive PublishingSystems Programming for A Practical Guide to Rust, C++, and Memory-Safe Performance
This book is designed for analysts and technical professionals who need to go beyond high-level scripting and into the core of machine-level efficiency. With a practical, no-fluff approach, it teaches how to use Rust and C++ to write fast, safe, and scalable systems tailored for analytical workflows.
Learn how
Build low-level tools that outperform Python and R by orders of magnitude
Choose between Rust and C++ depending on your system's requirements
Leverage memory safety and concurrency for secure, high-performance computation
Integrate systems code into analytics pipelines and custom data tooling
Understand memory models, pointer logic, and how to eliminate runtime crashes
Write clean, modular code that runs close to the metal—without sacrificing maintainability
Ideal for finance professionals, data engineers, and systems-focused analysts, this guide bridges the gap between domain expertise and modern systems programming. With real-world examples and a focus on application over theory, it equips readers with the technical edge to build tools that matter.
This book is designed for analysts and technical professionals who need to go beyond high-level scripting and into the core of machine-level efficiency. With a practical, no-fluff approach, it teaches how to use Rust and C++ to write fast, safe, and scalable systems tailored for analytical workflows.
Learn how
Build low-level tools that outperform Python and R by orders of magnitude
Choose between Rust and C++ depending on your system's requirements
Leverage memory safety and concurrency for secure, high-performance computation
Integrate systems code into analytics pipelines and custom data tooling
Understand memory models, pointer logic, and how to eliminate runtime crashes
Write clean, modular code that runs close to the metal—without sacrificing maintainability
Ideal for finance professionals, data engineers, and systems-focused analysts, this guide bridges the gap between domain expertise and modern systems programming. With real-world examples and a focus on application over theory, it equips readers with the technical edge to build tools that matter.
603 pages, Kindle Edition
Published April 29, 2025
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