If you want to learn how to program in Rust and create strong, reliable apps with the most recent version Rust 1.68, then you need the "Practical Rust 1.x Cookbook (Second Edition)"—a book full of real-world solutions. An extensive collection of practical recipes covering a wide range of topics, this edition expands upon the first and guarantees that you will be well-versed in the complexities of Rust. You will learn the fundamentals of programming, how to set up a development environment, and the syntax of Rust in the first few chapters. Data structures, pattern matching, error handling, and concurrency are all covered in the recipes, which will set you up for success with more complex topics.As you go through the book, you'll learn how to write efficient and secure code by managing memory, using Rust's ownership model, and borrowing rules. You will gain an understanding of how to make use of robust Rust features such as traits, generics, and lifetimes to build code that is both flexible and reusable. The testing and debugging chapters provide the necessary tools and techniques to guarantee that your applications are dependable and free of bugs. Using profiling tools like valgrind and perf, the cookbook teaches you how to find and fix performance bottlenecks, which is a major focus of performance optimization. By learning about SIMD instructions, compiler optimization flags, and parallel processing with libraries like rayon, you can greatly improve the efficiency of your code. In the more advanced chapters, you will learn how to use static and dynamic analysis, fuzz testing, and external high-performance libraries to make your applications even better. In no time at all, you will be able to build robust, high-performance Rust applications by following these potent recipes and becoming an expert Rust programmer. Key Learnings Learn the ins and outs of Rust's ownership model to avoid data races and make sure memory is safe. Develop your skills in pattern matching and advanced error handling to create code that is both strong and easy to maintain. Use the robust primitives and rayon library in Rust to implement parallelism and concurrency. Use the perf, valgrind, and SIMD instructions to optimize performance for efficient execution. Carry out thorough fuzz testing and static analysis with clippy and cargo-fuzz. Enable efficient memory management by studying high-performance libraries such as hashbrown and jemalloc. With diesel and sqlx, you can manage databases and make queries and integrations a breeze. Optimize the deployment of Rust applications and establish CI/CD pipelines. Table of Content Setting up and Configuring Rust Environment Hands-on Traits, Enums and Struct Pattern Matching, Concurrency, Pointers and Modules Using Declarative and Procedural Macros Implementing Concurrency and Multithreading Asynchronous Programming Developing REST and SOAP APIs Building Microservices & Architectures Working around CI/CD Working around Kubernetes Fuzz Testing and Static Analysis Code Performance Optimization

Practical Rust 1.x Cookbook is an in-depth guide for experienced Rust programmers looking to create robust and efficient applications. This solution-focused book covers a wide range of topics, including command-line, webassembly, networking, kubernetes, microservices, and system programming. This book includes over 100 real-world practical exercises that will teach you how to use the Rust compiler and command-line programming across every stage of software development. Each exercise is intended to reinforce Rust's potential for outperforming legacy applications and bridging the high performance gap. You'll learn about advanced solutions like asynchronous functions, API testing, CI/CD pipelines, Fuzz testing, and microservices architecture as you read the book. You'll also have the chance to put your knowledge to use by solving complex concurrent and parallel code challenges. You'll also get hands-on experience with many of Rust's built-in frameworks and libraries. Practical Rust 1.x Cookbook is a must-have for both experienced and inexperienced Rust programmers looking to create high-performance and robust applications. This book will help you stay ahead of the curve in Rust programming by providing clear explanations, practical examples, and step-by-step illustrations. Get your copy today and start making the apps you've always wanted to make! Key Learnings Employing declarative and procedural macros, pattern matching, and enums Create and test asynchronous code, error handling, and communication patterns. Working with deadlocks and livelocks, as well as implementing hash maps and parallel algorithms SOAP and REST API development, API orchestration, and performance monitoring API layering, middleware programming, and end-to-end API testing CI/CD, Docker registry, Kubernetes cluster, YAML files, and load balancers configuration Working with fuzz testing, checking syntax, and identifying code vulnerabilities Table of Content Setting Up and Configuring Rust Environment Hands-on Traits, Enums and Struct Pattern Matching, Concurrency, Pointers and Modules Using Declarative and Procedural Macros Implementing Concurrency and Multithreading Asynchronous Programming Developing REST and SOAP APIs Building Microservices and Architectures Working around CI/CD Working around Kubernetes Fuzz Testing and Static Analysis Code Performance Optimization

The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.

Explore the Rust Standard library and compose algorithms with minimal dependency on external libraries Key Features Develop high-quality, fast, and portable applications by leveraging the power of Rust's Standard library. Practical recipes that will help you work with the Standard library to boost your productivity as a Rust developer. Learn about most relevant external crates to be used along with the Standard library. Book Description Mozilla’s Rust is gaining much attention with amazing features and a powerful library. This book will take you through varied recipes to teach you how to leverage the Standard library to implement efficient solutions. The book begins with a brief look at the basic modules of the Standard library and collections. From here, the recipes will cover packages that support file/directory handling and interaction through parsing. You will learn about packages related to advanced data structures, error handling, and networking. You will also learn to work with futures and experimental nightly features. The book also covers the most relevant external crates in Rust. By the end of the book, you will be proficient at using the Rust Standard library. What you will learn How to use the basic modules of the library: strings, command line access, and more. Implement collections and folding of collections using vectors, Deque, linked lists, and more. Handle various file types , compressing and decompressing data. Search for files with glob patterns. Implement parsing through various formats such as CSV, TOML, and JSON. Utilize drop trait , the Rust version of destructor. Resource locking with Bilocks. Who this book is for This book is for developers who would like to explore the power of Rust and learn to use the STL for various functionalities. A basic Rust programming knowledge is assumed.

Explore various Rust features, data structures, libraries, and toolchain to build modern systems software with the help of hands-on examples Key FeaturesLearn techniques to design and build system tools and utilities in RustExplore the different features of the Rust standard library for interacting with operating systemsGain an in-depth understanding of the Rust programming language by writing low-level softwareBook Description Modern programming languages such as Python, JavaScript, and Java have become increasingly accepted for application-level programming, but for systems programming, C and C++ are predominantly used due to the need for low-level control of system resources. Rust promises the best of both worlds: the type safety of Java, and the speed and expressiveness of C++, while also including memory safety without a garbage collector. This book is a comprehensive introduction if you’re new to Rust and systems programming and are looking to build reliable and efficient systems software without C or C++. The book takes a unique approach by starting each topic with Linux kernel concepts and APIs relevant to that topic. You’ll also explore how system resources can be controlled from Rust. As you progress, you’ll delve into advanced topics. You’ll cover network programming, focusing on aspects such as working with low-level network primitives and protocols in Rust, before going on to learn how to use and compile Rust with WebAssembly. Later chapters will take you through practical code examples and projects to help you build on your knowledge. By the end of this Rust programming book, you will be equipped with practical skills to write systems software tools, libraries, and utilities in Rust. What you will learnGain a solid understanding of how system resources are managedUse Rust confidently to control and operate a Linux or Unix systemUnderstand how to write a host of practical systems software tools and utilitiesDelve into memory management with the memory layout of Rust programsDiscover the capabilities and features of the Rust Standard LibraryExplore external crates to improve productivity for future Rust programming projectsWho this book is for This book is for developers with basic knowledge of Rust but little to no knowledge or experience of systems programming. System programmers who want to consider Rust as an alternative to C or C++ will also find this book useful.

Leverage Polars, a lightning-fast DataFrame library, to transform your Python-based data science projects with efficient data wrangling and manipulation Key Features Unlock the power of Python Polars for faster and more efficient data analysis workflows Master the fundamentals of Python Polars with step-by-step recipes Discover data manipulation techniques to apply across multiple data problems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Polars Cookbook is a comprehensive, hands-on guide to Python Polars, one of the first resources dedicated to this powerful data processing library. Written by Yuki Kakegawa, a seasoned data analytics consultant who has worked with industry leaders like Microsoft and Stanford Health Care, this book offers targeted, real-world solutions to data processing, manipulation, and analysis challenges. The book also includes a foreword by Marco Gorelli, a core contributor to Polars, ensuring expert insights into Polars' applications. From installation to advanced data operations, you’ll be guided through data manipulation, advanced querying, and performance optimization techniques. You’ll learn to work with large datasets, conduct sophisticated transformations, leverage powerful features like chaining, and understand its caveats. This book also shows you how to integrate Polars with other Python libraries such as pandas, numpy, and PyArrow, and explore deployment strategies for both on-premises and cloud environments like AWS, BigQuery, GCS, Snowflake, and S3. With use cases spanning data engineering, time series analysis, statistical analysis, and machine learning, Polars Cookbook provides essential techniques for optimizing and securing your workflows. By the end of this book, you'll possess the skills to design scalable, efficient, and reliable data processing solutions with Polars. What you will learn Read from different data sources and write to various files and databases Apply aggregations, window functions, and string manipulations Perform common data tasks such as handling missing values and performing list and array operations Discover how to reshape and tidy your data by pivoting, joining, and concatenating Analyze your time series data in Python Polars Create better workflows with testing and debugging Who this book is for This book is for data analysts, data scientists, and data engineers who want to learn how to use Polars in their workflows. Working knowledge of the Python programming language is required. Experience working with a DataFrame library such as pandas or PySpark will also be helpful.

Go beyond the basics and build complete applications using the Rust programming language. The applications in this book include a high-performance web client, a microcontroller (for a robot, for example), a game, an app that runs on Android, and an application that incorporates AI and machine learning. Each chapter will be organized in the following format: what this kind of application looks like; requirements and user stories of our example program; an introduction to the Rust libraries used; the actual implementation of the example program, including common pitfalls and their solutions; and a brief comparison of libraries for building each application, if there is no clear winner. Practical Rust Projects will open your eyes to the world of practical applications of Rust. After reading the book, you will be able to apply your Rust knowledge to build your own projects. What You Will Learn Write Rust code that runs on microcontrollers Build a 2D game Create Rust-based mobile Android applications Use Rust to build AI and machine learning applications Who This Book Is For Someone with basic Rust knowledge, wishing to learn more about how to apply Rust in a real-world scenario.