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Data Structures in Rust: Implementations, Benchmarks, and Production Tactics
Paperback
Publisher: Independently Published
Published: Feb 8 2026
Pages: 208
Weight: 0.63
Height: 0.44 Width: 6.00 Depth: 9.00
Language: English
This book goes beyond theory. It shows you how data structures actually behave in real systems-and how to implement them idiomatically in Rust while leveraging the language's powerful ownership model, lifetimes, and zero-cost abstractions.
You'll explore classic and modern data structures through clean, well-tested Rust implementations, then put them to the test with rigorous benchmarks that reveal real-world performance trade-offs. Along the way, you'll learn when to rely on Rust's standard library, when to roll your own, and how to make decisions that scale in production environments.
Rust-first approach: Every concept is grounded in Rust's type system, memory safety guarantees, and concurrency model
Practical implementations: Linked lists, trees, hash maps, graphs, heaps, and more-built step by step
Benchmark-driven insight: Measure cache behavior, allocation patterns, and algorithmic trade-offs using real data
Production tactics: Learn how to choose, tune, and evolve data structures in high-performance, real-world systems
Battle-tested patterns: Error handling, API design, ownership strategies, and performance profiling
Rust developers who want to master performance-critical code
Systems programmers moving from C/C++ to Rust
Backend and infrastructure engineers building reliable, high-throughput services
Advanced learners who want to understand why data structures perform the way they do in practice
By the end of this book, you won't just know data structures-you'll know how to design, benchmark, and deploy them confidently in Rust, making informed trade-offs that hold up under real production workloads.
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