Design and implement professional-level programs by leveraging modern data structures and algorithms in Rust
Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs.
You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros.
By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code.
This Learning Path includes content from the following Packt products:
If you are already familiar with an imperative language and now want to progress from being a beginner to an intermediate-level Rust programmer, this Learning Path is for you. Developers who are already familiar with Rust and want to delve deeper into the essential data structures and algorithms in Rust will also find this Learning Path useful.
Rahul Sharma is passionately curious about teaching programming. He has been writing software for the last two years. He got started with Rust with his work on Servo, a browser engine by Mozilla Research as part of his GSoC project. At present, he works at AtherEnergy, where he is building resilient cloud infrastructure for smart scooters. His interests include systems programming, distributed systems, compilers and type theory. He is also an occasional contributor to the Rust language and does mentoring of interns on the Servo project by Mozilla.