Find bottlenecks, identify the proper algorithm to use, optimize performance, and create really efficient Rust applications Key Features Understand common performance pitfalls and improve the performance of your applications. Get to grips with parallel programming and multithreading with Rust. Learn metaprogramming in Rust. Book Description At times, it is difficult to get the best performance out of Rust. This book teaches you to optimize the speed of your Rust code to the level of languages such as C/C++. You'll understand and fix common pitfalls, learn how to improve your productivity by using metaprogramming, and speed up your code by concurrently executing parts of it safely and easily. You will master the features of the language which will make you stand out and use them to really improve the efficiency of your algorithms The book begins with a gentle introduction to help you identify bottlenecks when programming in Rust. We highlight common performance pitfalls, along with strategies to detect and resolve these issues early. We move on to mastering Rust's type system, which will enable us to create impressive optimizations in both performance and safety at compile time. You will then learn how to effectively manage memory in Rust, mastering the borrow checker. We move on to measuring performance and you will see how this affects the way you write code. Moving ahead, you will perform metaprogramming in Rust to boost the performance of your code and your productivity. You will finally learn parallel programming in Rust, which enables efficient and faster execution by using multithreading and asynchronous programming. What you will learn Master tips and tricks to make your code faster. Learn how to identify bottlenecks in your Rust applications Discover how to profile your Rust software. Understand the type system to create compile-time optimizations. Master the borrow checker . Learn metaprogramming in Rust to avoid boilerplate code. Discover multithreading and work stealing in Rust. Understand asynchronous programming in Rust. Who this book is for This book is for Rust developers keen to improve the speed of their code or simply to take their skills to the next level.

This book constitutes the refereed post-conference proceedings of 10 workshops held at the 35th International ISC High Performance 2020 Conference, in Frankfurt, Germany, in June 2020: First Workshop on Compiler-assisted Correctness Checking and Performance Optimization for HPC (C3PO); First International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML); HPC I/O in the Data Center Workshop (HPC-IODC); First Workshop \Machine Learning on HPC Systems" (MLHPCS); First International Workshop on Monitoring and Data Analytics (MODA); 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC). The 25 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include high-performance computing (HPC), computer architecture and hardware, programming models, system software, performance analysis and modeling, compiler analysis and optimization techniques, software sustainability, scientific applications, deep learning.

Are you ready to conquer the world of modern programming with confidence and precision? "Mastering Rust" is your gateway to unlocking the true potential of the Rust programming language. Whether you're a seasoned developer aiming to expand your toolkit or a programming novice ready to embark on an exciting journey, this comprehensive guide will equip you with the skills to develop robust, efficient, and secure software. Key Features: 1. Deep Dive into Rust Fundamentals: Immerse yourself in the core concepts of Rust programming, starting from its origins and design philosophy. Explore variables, data types, ownership, and borrowing—the pillars of Rust's safety and performance. 2. Memory Safety and Concurrency: Discover Rust's groundbreaking ownership model, designed to eliminate memory-related bugs and ensure your code runs smoothly. Dive into Rust's concurrency features, including threads and async programming, to build responsive and efficient applications. 3. Advanced Data Structures and Algorithms: Elevate your coding prowess by mastering Rust's data structures and algorithms. From vectors and hash maps to trees and graphs, learn how to leverage these structures to solve complex problems with elegance and efficiency. 4. Building Reliable Applications: Explore best practices for structuring and organizing your Rust projects. Gain insights into error handling, testing, and writing clean, maintainable code that thrives in real-world scenarios. 5. Harnessing Rust's Standard Library: Maximize your productivity by harnessing the capabilities of Rust's rich standard library. From working with files and networking to parsing and formatting data, leverage these powerful tools to streamline your development process. 6. Web Development and Beyond: Create dynamic web applications using Rust's modern web frameworks. Dive into concepts like routing, templating, and database integration to build web solutions that are as performant as they are secure. 7. Advanced Language Features: Push the boundaries of your Rust knowledge by exploring advanced topics such as macros, traits, and pattern matching. Craft expressive, idiomatic code that showcases the elegance and power of the Rust language. 8. Performance Optimization: Master the art of optimizing Rust applications for top-notch performance. Learn profiling techniques, memory management, and benchmarking to ensure your software runs efficiently. 9. Deployment and DevOps: Navigate the landscape of deploying Rust applications to various platforms. Discover containerization and adopt DevOps practices that streamline your development-to-production pipeline. Who This Book Is For: "Mastering Rust" is an indispensable companion for developers of all levels of expertise who are eager to harness the capabilities of the Rust programming language. Whether you're a novice programmer or a seasoned coder looking to embrace Rust's unique features, this book will guide you through the language's nuances and empower you to create resilient, high-performance software.

Master Rust Like Never Before! 🚀 Step into the world of The Rust Programming Language (TRPL)—your ultimate guide to mastering Rust! 🦀 Whether you're a systems programming enthusiast or a seasoned developer, this book will take you on an exciting journey through Rust’s core principles and advanced features. ✨ With 400+ AI-powered prompts 🤖 and hands-on examples, TRPL empowers you to write efficient, safe, and concurrent software like a pro. 💻 Each chapter blends practical examples with in-depth theory to sharpen your skills and unlock new possibilities in modern systems programming. 🛠️ Embrace the future of learning and programming—explore Rust's full potential with this innovative and interactive approach! 📚 Perfect for coders at every level, TRPL will deepen your understanding and refine your skills for the ever-evolving tech world. 🌟 Get ready to level up your coding game! 💡

Learn Rust, the modern systems programming language that is quickly gaining popularity. In this comprehensive guide, you will learn everything you need to know to get started with Rust. You will learn about the basics of the language, including syntax, types, control flow, functions, modules, ownership, concurrency, I/O, and testing. You will also learn about advanced topics, such as performance optimization, concurrency primitives, FFI, system programming, and web development. This book is written in a clear and concise style, and it includes a number of examples and exercises to help you learn the language. Whether you are a beginner or an experienced developer, Rust: A Comprehensive Guide is the perfect resource for learning Rust. Here are some of the benefits of learning Rust: Rust is a safe language that helps you to avoid memory errors. Rust is a fast language that can be used to build high-performance applications. Rust is a versatile language that can be used to build a variety of applications, including web development, system programming, and embedded systems. If you are looking for a modern, powerful, and versatile programming language, then Rust is a great choice. With "Learning Rust", you will be well on your way to becoming a Rust developer.

Get ready to code like a pro in Rust with insider techniques used by Rust veterans! Code Like a Pro in Rust dives deep into memory management, asynchronous programming, and the core Rust skills that make you a Rust pro! Plus, you’ll find essential productivity techniques for Rust testing, tooling, and project management. You’ll soon be writing high-quality code that needs way less maintenance overhead. In Code Like A Pro in Rust, you will learn: Essential Rust tooling Core Rust data structures Memory management Testing in Rust Asynchronous programming for Rust Optimized Rust Rust project management Code Like A Pro in Rust is a fast-track guide to building and delivering professional quality software in Rust. It skips the fluff and gets right to the heart of this powerful modern language. You’ll learn how to sidestep common Rust pitfalls and navigate quirks you might never have seen before—even if you’ve been programming for many years! Plus, discover timeless strategies for navigating the evolving Rust ecosystem and ensure your skills can easily adapt to future changes. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Rust is famous for its safety, performance, and security, but it takes pro skills to make this powerful language shine. This book gets you up to speed fast, so you’ll feel confident with low-level systems, web applications, asynchronous programming, concurrency, optimizations, and much more. About the book Code Like a Pro in Rust will make you a more productive Rust programmer. This example-rich book builds on your existing know-how by introducing Rust-specific design patterns, coding shortcuts, and veteran skills like asynchronous programming and integrating Rust with other languages. You’ll also meet amazing Rust tools for testing, code analysis, and application lifecycle management. It’s all the good stuff in one place! What's inside Core Rust data structures Memory management Creating effective APIs Rust tooling, testing, and more About the reader Assumes you know Rust basics. About the author Brenden Matthews is a software engineer, entrepreneur, and a prolific open source contributor who has been using Rust since the early days of the language. Table of Contents 1 Feelin’ Rusty PART 1 2 Project management with Cargo 3 Rust tooling PART 2 4 Data structures 5 Working with memory PART 3 6 Unit testing 7 Integration testing PART 4 8 Async Rust 9 Building an HTTP REST API service 10 Building an HTTP REST API CLI PART 5 11 Optimizations

Building Tomorrow's Systems Today the Rust Way KEY FEATURES ● Learn how to use Rust libraries effectively for various applications and projects. ● Go from basics to advanced system-building skills for stronger and reliable outcomes. ● Secure your Rust applications confidently with expert tips for enhanced protection. DESCRIPTION This book is your guide to mastering Rust programming, equipping you with essential skills and insights for efficient system programming. It starts by introducing Rust's significance in the system programming domain and highlighting its advantages over traditional languages like C/C++. You'll then embark on a practical journey, setting up Rust on various platforms and configuring the development environment. From writing your first "Hello, World!" program to harness the power of Rust's package manager, Cargo, the book ensures a smooth initiation into the language. Delving deeper, the book covers foundational concepts, including variables, data types, control flow, functions, closures, and crucial memory management aspects like ownership, borrowing, and lifetimes. Special attention is given to Rust's strict memory safety guarantees, guiding you in writing secure code with the assistance of the borrow checker. The book extends its reach to Rust collections, error-handling techniques, and the complexities of concurrency management. From threads and synchronization primitives like Mutex and RwLock to asynchronous programming with async/await and the Tokio library, you'll gain a comprehensive understanding of Rust's capabilities. This book covers it all. WHAT WILL YOU LEARN ● Learn how to set up the Rust environment effortlessly, ensuring a streamlined development process. ● Explore advanced concepts in Rust, including traits, generics, and various collection types, expanding your programming expertise. ● Master effective error-handling techniques, empowering you to create custom error types for enhanced code robustness. ● Tackle the complexities of memory management, smart pointers, and delve into the complexities of concurrency in Rust. ● Gain hands-on experience by building command-line utilities, sharpening your practical skills in real-world scenarios. ● Master the use of iterators and closures, ensuring code reliability through comprehensive unit testing practices. WHO IS THIS BOOK FOR? This book is tailored for aspiring programmers, software developers, system engineers, and computer scientists looking to dive into system programming with Rust. It caters to a broad spectrum of individuals and professionals interested in leveraging Rust's power to build robust and efficient applications. While no prior experience with Rust is necessary, a basic understanding of programming concepts and familiarity with at least one programming language would be beneficial. TABLE OF CONTENTS 1. Systems Programming with Rust 2. Basics of Rust 3. Traits and Generics 4. Rust Built-In Data Structures 5. Error Handling and Recovery 6. Memory Management and Pointers 7. Managing Concurrency 8. Command Line Programs 9. Working with Devices I/O in Rust 10. Iterators and Closures 11. Unit Testing in Rust 12. Network Programming 13. Unsafe Coding in Rust 14. Asynchronous Programming 15. Web Assembly with Rust Index

Rust In Practice is an ultimate fast-paced guide for anyone looking to become a practitioner of the rust programming from day 1. This book covers everything from the basics of Rust programming to building robust and efficient applications. Starting with the fundamentals, this book guides you through the syntax and semantics of the Rust language, including its unique ownership model and type system. You'll learn about common data types, control flow, error handling, and more. As you progress through the book, you'll dive deeper into advanced topics such as building programs, rust libraries and crates, using the standard library, and working with external crates. You'll also learn how to write concurrent and parallel code, take advantage of Rust's built-in testing features, and use popular Rust frameworks and libraries. The book also provides hands-on examples and exercises to help you practice and apply the concepts you've learned. By the end of this book, you'll have a solid understanding of Rust programming and be well-equipped to start building your own robust and efficient applications. With clear explanations, practical examples, and expert advice, this book will help you get an edge on Rust programming and become proficient in building and testing Rust applications, right from day one. Key Learnings Get well versed with cargo, different cargo commands Understanding data types, ownership, and borrowing Write flexible, efficient code with traits and generics Make use of closures, iterators, and asynchronous programming to write multi-threaded programs Utilizing collections, strings, text, input and output, macros, and avoiding unsafe codes Run code testing on different types of rust programs and applications 50+ examples covered to demonstrate every feature and functionality of rust Table of Contents Understanding Why Rust! Getting Ready with Rust Environment Most Essentials of Rust Structs Enums and Pattern Matching Exploring Ownership and Borrowing Cargo, Crates and Packages Cargo Commands Using Rust Standard Library My First Command Line App (CLI) Code Testing of Applications Smart Pointers and Reference Cycles Audience This book is for both, newbies and programmers who wants a combined knowledge of concepts and practical guidance of using Rust in developing programs and applications. This book is written by a team of Rust professionals with an intent to contribute and return back to both industry and academic research communities.

In this stimulating journey of Rust, you'll learn how to use the Rust programming language in conjunction with machine learning. It's not a full guide to learning machine learning with Rust. Instead, it's more of a journey that shows you what's possible when you use Rust to solve machine learning problems. Some people like Rust because it is quick and safe. This book shows how those qualities can help machine learning a lot. To begin, we will show you what Rust is and how it works. This is so that everyone, even those who are new to Rust, can follow along. Then, we look at some basic machine learning concepts, such as linear and logistic regression, and show how to use Rust's tools and libraries to make these ideas work. You will learn more complex techniques like decision trees, support vector machines, and how to work with data as we go along. It goes all the way up to neural networks and image recognition, and we show you how to use Rust for these types of tasks step by step. We use real-world examples, such as COVID data and the CIFAR-10 image set, to show how Rust works with issues that come up in the real world. This book is all about discovery and experimentation. To see what you can do with them, we use various Rust tools for machine learning. It's a fun way to see how Rust can be used in machine learning, and it will make you want to try new things and learn more on your own. This is only the beginning; there is so much more to uncover as you continue to explore machine learning with Rust. Key Learnings Exploit Rust's efficiency and safety to construct fast machine learning models. Use Rust's ndarray crate for numerical computations to manipulate complex machine learning data. Find out how Rust's extensible machine learning framework, linfa, works across algorithms. Use Rust's precision and speed to construct linear and logistic regression. See how Rust crates simplify decision trees and random forests for prediction and categorization. Learn to implement and optimize probabilistic classifiers, SVMs and closest neighbor methods in Rust. Use Rust's computing power to study neural networks and CNNs for picture recognition and processing. Apply learnt strategies to COVID and CIFAR-10 datasets to address realistic problems and obtain insights. Table of Content Rust Basics for Machine Learning Data Wrangling with Rust Linear Regression by Example Logistic Regression for Classification Decision Trees in Action Mastering Random Forests Support Vector Machines in Action Simplifying Naive Bayes and k-NN Crafting Neural Networks with Rust

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud. After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy. What You Will Learn Write machine learning algorithms in RustUse Rust libraries for different tasks in machine learningCreate concise Rust packages for your machine learning applicationsImplement NLP and computer vision in RustDeploy your code in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software engineers interested in building machine learning applications in Rust.