Zig Programming: A Systems Developer's Guide: Memory-Safe, High-Performance Software Without Hidden Runtimes
Format:
Paperback
En stock
1.22 kg
Sí
Nuevo
Amazon
USA
- Zig is a modern systems programming language designed for explicit control, predictable performance, and transparent behavior. Unlike languages that rely on garbage collection or hidden runtimes, Zig gives developers full authority over memory management, error handling, and execution flow. This book explains how to use Zig as it was designed to be used in real-world systems, not just in small examples or tutorials.Written for experienced programmers, this book provides an in-depth exploration of Zig language fundamentals, advanced syntax, and core design principles. You will learn Zig's type system, error sets and error unions, explicit memory allocation with allocators, pointers and ownership semantics, and compile-time programming using comptime. Each topic is explained from first principles and reinforced with complete, production-aware Zig code examples.The book places strong emphasis on practical systems programming. You will learn how to write robust Zig functions, design safe and maintainable APIs, manage memory without leaks, and reason precisely about performance costs. Detailed chapters cover Zig concurrency and asynchronous programming, threading models, synchronization primitives, and memory ordering. You will also gain a deep understanding of Zig's build system, cross-compilation capabilities, and tooling support.A dedicated section focuses on C interoperability and foreign function interfaces. You will learn how to call C libraries from Zig, expose Zig code to C and other languages, handle ABI compatibility, and manage cross-language builds. These skills are essential for developers working on operating systems, embedded software, game engines, compilers, and infrastructure tooling.The later chapters present real-world Zig projects and engineering patterns, including command-line tools, reusable libraries, embedded-style components, and network servers. These case studies demonstrate best practices for API design, performance tuning, secure coding, testing, debugging, and profiling in Zig. Optimization techniques and low-level performance considerations are discussed in detail, helping you write fast, predictable, and reliable software.Throughout the book, trade-offs are explained clearly. Design decisions are justified. Common mistakes are identified and corrected. Rather than relying on abstract theory, the book teaches Zig through concrete examples that reflect real engineering constraints and long-term maintainability concerns.This book is ideal for software engineers with experience in C, C++, Rust, or other low-level languages who want a clear and authoritative guide to Zig programming. It is also suitable for developers building systems software, embedded applications, high-performance tools, and infrastructure components where control, correctness, and performance are critical.By the end of this book, you will have a strong mental model of the Zig language, confidence in managing memory and errors explicitly, and the ability to design and implement production-quality systems using Zig in real-world environments.
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