Algorithms and Data Structures in Rust
300 pages
English
PDF
4.5

Algorithms and Data Structures in Rust

Algorithms and Data Structures in Rust

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The book "Algorithms and Data Structures in Rust" is a practical guide that will help you master fundamental and advanced programming concepts through the lens of the Rust language. Whether you are already familiar with the basics of Rust and want to delve into algorithmic optimization, or are just starting your journey in systems programming, this book will be your reliable companion.



Unlike classic textbooks, this book focuses on Rust's features: safe memory management, the ownership system, borrowing, and lifetimes. You will not only learn how algorithms work but also understand how to implement them as efficiently and safely as possible in real-world projects.



  • Algorithm Basics: from simple sorts and searches to complex graph algorithms.
  • Data Structures: stack, queue, hash tables, trees, heaps, and graphs with implementations in Rust.
  • Memory Optimization: using Box, Rc, Arc, Cell, and RefCell to create flexible and fast structures.
  • Parallelism and Concurrency: how to apply algorithms in multithreaded environments with Rust's safety guarantees.
  • Real-World Examples: tasks from systems programming, networking, and database work.


Each chapter contains step-by-step code examples that you can immediately run and test. You will learn how to:

  • Choose the right data structure for a specific task.
  • Write algorithms that do not crash with memory errors or data races.
  • Use iterators, closures, and traits for elegant code.
  • Optimize performance using profiling and benchmarks.
  • Integrate Rust with other languages (Python, C) via FFI.


The book is intended for intermediate-level developers who want to transition to Rust or deepen their knowledge. It will also be useful for students in technical fields and anyone interested in high-performance programming.



The author is Alexey Petrov, an experienced systems programmer and contributor to open-source projects in Rust. He shares not only theory but also practical advice accumulated over years of work.



By the end of the book, you will be able to confidently implement complex algorithms, design efficient data structures, and write safe, fast Rust code ready for industrial use.

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