Have you ever wondered what's the difference between:

• Deref<Target = T>, AsRef<T>, and Borrow<T>?
• Clone, Copy, and ToOwned?
• From<T> and Into<T>?
• TryFrom<&str> and FromStr?
• FnOnce, FnMut, Fn, and fn?

Or ever asked yourself the questions:

• "When do I use associated types vs generic types in my trait?"
• "What are generic blanket impls?"
• "How do subtraits and supertraits work?"
• "Why does this trait not have any methods?"

For a bit more than a year now, I've been inter­ested in RustThe Rust Programming Language – www.rust-lang.org, a pro­gram­ming lan­guage by Mozilla research that “runs blaz­ingly fast, pre­vents nearly all seg­faults, and guar­an­tees thread safety.” It is as low-level as C or C++, has a nice type sys­tem (with gener­ics and traits), a help­ful com­piler, and a great pack­age man­ager called CargoCargo, Rust's Package Manager – doc.crates.io.

Since Rust 1.0Announcing Rust 1.0 – blog.rust-lang.org was released half a year ago (in May 2015), a lot of libraries (“crates”) have been pub­lished to Car­go's main pub­lic reg­istry crates.ioThe Rust community's crate host – crates.io (includ­ing some of mine). Here are some good prac­tices[1][1]

This is a set of recommendations on how to design and present APIs for the Rust programming language. They are authored largely by the Rust library team, based on experiences building the Rust standard library and other crates in the Rust ecosystem.

These are only guidelines, some more firm than others. In some cases they are vague and still in development. Rust crate authors should consider them as a set of important considerations in the development of idiomatic and interoperable Rust libraries, to use as they see fit. These guidelines should not in any way be considered a mandate that crate authors must follow, though they may find that crates that conform well to these guidelines integrate better with the existing crate ecosystem than those that do not.

This book is organized in two parts: the concise checklist of all individual guidelines, suitable for quick scanning during crate reviews; and topical chapters containing explanations of the guidelines in detail.

An open source book about design patterns and idioms in the Rust programming language that you can read here.

When developing programs, we have to solve many problems. A program can be viewed as a solution to a problem. It can also be viewed as a collection of solutions to many different problems. All of these solutions work together to solve a bigger problem.

In Rust, function signatures tell a story. Just from glancing at the signature of a function an experienced Rust user can tell much of the functions behaivor.

In this article we'll explore some signatures and talk about how to read them and extract information from them. While exploring, you can find many great function signature examples in the Rust API docs. You can play around on the Playpen.

This article assumes some knowledge of Rust, glossing over a bit of the book should be quite sufficient if you are lacking that but have programmed before.

If you're used to programming in something like Python or Javascript, this all may seem a bit foreign to you. I hope by the end of it that you're convinced this additional information is both a good thing, and that it is not something you often have in dynamically typed languages.

If you're used to C++, C, or the other systemsy languages hopefully this should all seem very familiar, despite the syntax differences. Ideally by the end of your article you'll think more about your function signatures as you write them!

Like most programming languages, Rust encourages the programmer to handle errors in a particular way. Generally speaking, error handling is divided into two broad categories: exceptions and return values. Rust opts for return values.

In this article, I intend to provide a comprehensive treatment of how to deal with errors in Rust. More than that, I will attempt to introduce error handling one piece at a time so that you’ll come away with a solid working knowledge of how everything fits together.

When done naively, error handling in Rust can be verbose and annoying. This article will explore those stumbling blocks and demonstrate how to use the standard library to make error handling concise and ergonomic.

This article marks the end of the second edition of 24 days of Rust. I hope you enjoyed it and maybe found inspiration for a project or two. I sure did :-) Some of the libraries I wrote about are familiar to almost entire Rust community. Some are fairly obscure but I find them interesting. Regardless, I learned a lot just by writing, trying to come up with meaningful code examples and editing my drafts. This was my intention all along - to learn something for myself while contributing these articles to the community.

The aim of this tutorial is to take you to a place where you can read and write enough Rust to fully appreciate the excellent learning resources available online, in particular The Book. It's an opportunity to try before you buy, and get enough feeling for the power of the language to want to go deeper.

As Einstein might have said, "As gentle as possible, but no gentler.". There is a lot of new stuff to learn here, and it's different enough to require some rearrangement of your mental furniture. By 'gentle' I mean that the features are presented practically with examples; as we encounter difficulties, I hope to show how Rust solves these problems. It is important to understand the problems before the solutions make sense. To put it in flowery language, we are going for a hike in hilly country and I will point out some interesting rock formations on the way, with only a few geology lectures. There will be some uphill but the view will be inspiring; the community is unusually pleasant and happy to help. There is the Rust Users Forum and an active subreddit which is unusually well-moderated. The FAQ is a good resource if you have specific questions.

Rust is a highly concurrent and high performance language that focuses on safety and speed, memory management, and writing clean code. It also guarantees thread safety, and its aim is to improve the performance of existing applications. Its potential is shown by the fact that it has been backed by Mozilla to solve the critical problem of concurrency.

Learning Rust will teach you to build concurrent, fast, and robust applications. From learning the basic syntax to writing complex functions, this book will is your one stop guide to get up to speed with the fundamentals of Rust programming. We will cover the essentials of the language, including variables, procedures, output, compiling, installing, and memory handling.

You will learn how to write object-oriented code, work with generics, conduct pattern matching, and build macros. You will get to know how to communicate with users and other services, as well as getting to grips with generics, scoping, and more advanced conditions. You will also discover how to extend the compilation unit in Rust.

By the end of this book, you will be able to create a complex application in Rust to move forward with.

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.

Rust is a new systems programming language that combines the performance and low-level control of C and C++ with memory safety and thread safety. Rust’s modern, flexible types ensure your program is free of null pointer dereferences, double frees, dangling pointers, and similar bugs, all at compile time, without runtime overhead. In multi-threaded code, Rust catches data races at compile time, making concurrency much easier to use.

Written by two experienced systems programmers, this book explains how Rust manages to bridge the gap between performance and safety, and how you can take advantage of it. Topics include:

• How Rust represents values in memory (with diagrams)
• Complete explanations of ownership, moves, borrows, and lifetimes
• Cargo, rustdoc, unit tests, and how to publish your code on crates.io, Rust’s public package repository
• High-level features like generic code, closures, collections, and iterators that make Rust productive and flexible
• Concurrency in Rust: threads, mutexes, channels, and atomics, all much safer to use than in C or C++
• Unsafe code, and how to preserve the integrity of ordinary code that uses it
• Extended examples illustrating how pieces of the language fit together

Rust is the new, open source, fast, and safe systems programming language for the 21st century, developed at Mozilla Research, and with a steadily growing community. It was created to solve the dilemma between high-level, slow code with minimal control over the system, and low-level, fast code with maximum system control. It is no longer necessary to learn C/C++ to develop resource intensive and low-level systems applications. This book will give you a head start to solve systems programming and application tasks with Rust.

We start off with an argumentation of Rust's unique place in today's landscape of programming languages. You'll install Rust and learn how to work with its package manager Cargo. The various concepts are introduced step by step: variables, types, functions, and control structures to lay the groundwork. Then we explore more structured data such as strings, arrays, and enums, and you’ll see how pattern matching works.

Throughout all this, we stress the unique ways of reasoning that the Rust compiler uses to produce safe code. Next we look at Rust's specific way of error handling, and the overall importance of traits in Rust code. The pillar of memory safety is treated in depth as we explore the various pointer kinds. Next, you’ll see how macros can simplify code generation, and how to compose bigger projects with modules and crates. Finally, you’ll discover how we can write safe concurrent code in Rust and interface with C programs, get a view of the Rust ecosystem, and explore the use of the standard library.