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Mastering Rust

Mastering Rust

By : Sharma, Vesa Kaihlavirta
2.6 (5)
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Mastering Rust

Mastering Rust

2.6 (5)
By: Sharma, Vesa Kaihlavirta

Overview of this book

Rust is an empowering language that provides a rare combination of safety, speed, and zero-cost abstractions. Mastering Rust – Second Edition is filled with clear and simple explanations of the language features along with real-world examples, showing you how you can build robust, scalable, and reliable programs. This second edition of the book improves upon the previous one and touches on all aspects that make Rust a great language. We have included the features from latest Rust 2018 edition such as the new module system, the smarter compiler, helpful error messages, and the stable procedural macros. You’ll learn how Rust can be used for systems programming, network programming, and even on the web. You’ll also learn techniques such as writing memory-safe code, building idiomatic Rust libraries, writing efficient asynchronous networking code, and advanced macros. The book contains a mix of theory and hands-on tasks so you acquire the skills as well as the knowledge, and it also provides exercises to hammer the concepts in. After reading this book, you will be able to implement Rust for your enterprise projects, write better tests and documentation, design for performance, and write idiomatic Rust code.
Table of Contents (19 chapters)
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Benchmarks

When business needs change and your program gets a requirement to perform more efficiently, the first step to take is to find out the areas that are slow in the program. How can you tell where the bottlenecks are? You can tell by measuring individual parts of your program on various expected ranges or on a magnitude of inputs. This is known as benchmarking your code. Benchmarking is usually done at the very last stage of development (but does not have to be) to provide insights on areas where there are performance pitfalls in code.

There are various ways to perform benchmark tests for a program. The trivial way is to use the Unix tool time to measure the execution time of your program after your changes. But that doesn't provide precise micro-level insights. Rust provides us with a built-in micro benchmarking framework. By micro benchmarking, we mean that it can...

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