homu-on-heroku 如何将实例部署到 Homu是一项CI服务，可帮助您在GitHub存储库中实施“永不中断构建”策略（有关Homu的更多详细信息，请检查其和 ）。 是一个Homu实例，加上一个前端，可让您轻松地将Homu与存储库一起使用。 但是，尽管其相关联的 bot仍在不停地对已经注册的存储库进行操作，但是homu.io现在不接受新存储库的注册。 在 “重新打开”其注册页面之前，您可以在免费的Heroku dyno上部署自己的Homu实例，并将其与所有存储库一起使用。 本文档的其余部分将告诉您如何执行此操作。 警告本文档未涵盖如何使用Homu或解释“ r +”之类的Homu术语，因为网站已涵盖了该。 实际上，我将简要介绍Homu的工作原理，因为有关某些功能的文档并不多。 请参阅部分。 你需要什么 一个额外的GitHub帐户将成为Homu机器人。 例如，我正在使用 。 我将这个（即您的）帐户称为$HOMU_BOT 。 一个Heroku帐户。 如何部署 抱歉，我没有时间使此过程更短/更简单。 该过程由“两个”部分组成：您需要执行一次（显然）的一系列“一次性”步骤，

awesome-cheatsheets-cn：:fire::fire::fire:专为国人开发者打造的备忘单-操作系统，数据库，编程语言，框架和开发工具等速查表。通过一个文件快速掌握或查找您所需的关键知识。项目上榜靠你了，觉得不错点个Star吧！:rocket::rocket:

真棒嵌入式锈：Rust编程语言中用于嵌入式和低级开发的资源精选清单

RustAdminRelease汉化版

This book will introduce you to the development of microservices with Rust. I started using Rust not that long ago, back in 2015. It had only been a couple of months since the release of version 1.0 and, at that time, I didn't think that this tool would usher in a silent revolution that would disrupt the traditions associated with system programming, which, at that time, was tedious and in no way fashionable.

Design and implement professional level programs by exploring modern data structures and algorithms in Rust. Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems’ programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. What you will learn Design and implement complex data structures in Rust Analyze, implement, and improve searching and sorting algorithms in Rust Create and use well-tested and reusable components with Rust Understand the basics of multithreaded programming and advanced algorithm design Become familiar with application profiling based on benchmarking and testing Explore the borrowing complexity of implementing algorithms

Get to grips with modern software demands by learning the effective uses of Rust's powerful memory safety. Key Features Learn and improve the sequential performance characteristics of your software Understand the use of operating system processes in a high-scale concurrent system Learn of the various coordination methods available in the Standard library Book Description Most programming languages can really complicate things, especially with regard to unsafe memory access. The burden on you, the programmer, lies across two domains: understanding the modern machine and your language's pain-points. This book will teach you to how to manage program performance on modern machines and build fast, memory-safe, and concurrent software in Rust. It starts with the fundamentals of Rust and discusses machine architecture concepts. You will be taken through ways to measure and improve the performance of Rust code systematically and how to write collections with confidence. You will learn about the Sync and Send traits applied to threads, and coordinate thread execution with locks, atomic primitives, data-parallelism, and more. The book will show you how to efficiently embed Rust in C++ code and explore the functionalities of various crates for multithreaded applications. It explores implementations in depth. You will know how a mutex works and build several yourself. You will master radically different approaches that exist in the ecosystem for structuring and managing high-scale systems. By the end of the book, you will feel comfortable with designing safe, consistent, parallel, and high-performance applications in Rust. What you will learn Probe your programs for performance and accuracy issues Create your own threading and multi-processing environment in Rust Use coarse locks from Rust’s Standard library Solve common synchronization problems or avoid synchronization using atomic programming Build lock-free/wait-free structures in Rust and understand their implementat

What this book covers Chapter 1, Hello Rust!, gives a short recap of the Rust programming language and what changed in the 2018 edition. Chapter 2, Cargo and Crates, discusses Rust's cargo build tool. We will explore the configuration as well as the build process and modularization options. Chapter 3, Storing Efficiently, looks at how in Rust, knowing where values are stored is not only important for performance, but also important for understanding error messages and the language in general. In this chapter, we think about stack and heap memory. Chapter 4, Lists, Lists, and More Lists, covers the first data structures: lists. Using several examples, this chapter goes into variations of sequential data structures and their implementations. Chapter 5, Robust Trees, continues our journey through popular data structures: trees are next on the list. In several detailed examples, we explore the inner workings of these efficient designs and how they improve application performance considerably. Chapter 6, Exploring Maps and Sets, explores the most popular key-value stores: maps. In this chapter, techniques surrounding hash maps; hashing; and their close relative, the set; are described in detail. Chapter 7, Collections in Rust, attempts to connect to the Rust programmer's daily life, going into the details of the Rust std::collections library, which contains the various data structures provided by the Rust standard library. Chapter 8, Algorithm Evaluation, teaches you how to evaluate and compare algorithms. Chapter 9, Ordering Things, will look at sorting values, an important task in programming—this chapter uncovers how that can be done quickly and safely. Chapter 10, Finding Stuff, moves onto searching, which is especially important if there is no fundamental data structure to support it. In these cases, we use algorithms to be able to quickly find what we are looking for. Chapter 11, Random and Combinatorial, is where we will see that, outside of sorting and searching,

Hands-On Concurrency with Rust.Hands-On Concurrency with Rust

Rust官方书the book的简体中文版，基于第二版翻译，感谢翻译团队的奉献。