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Rust Programming Cookbook

Rust Programming Cookbook

By : Claus Matzinger
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Rust Programming Cookbook

Rust Programming Cookbook

By: Claus Matzinger

Overview of this book

Rust 2018, Rust's first major milestone since version 1.0, brings more advancement in the Rust language. The Rust Programming Cookbook is a practical guide to help you overcome challenges when writing Rust code. This Rust book covers recipes for configuring Rust for different environments and architectural designs, and provides solutions to practical problems. It will also take you through Rust's core concepts, enabling you to create efficient, high-performance applications that use features such as zero-cost abstractions and improved memory management. As you progress, you'll delve into more advanced topics, including channels and actors, for building scalable, production-grade applications, and even get to grips with error handling, macros, and modularization to write maintainable code. You will then learn how to overcome common roadblocks when using Rust for systems programming, IoT, web development, and network programming. Finally, you'll discover what Rust 2018 has to offer for embedded programmers. By the end of the book, you'll have learned how to build fast and safe applications and services using Rust.
Table of Contents (12 chapters)
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Safe Programming for the Web

Ever since the popular Rails framework for the Ruby programming language, creating backend web services seemed like a domain for dynamically typed languages. This trend was only reinforced by the rise of Python and JavaScript as primary languages for these tasks. After all, the nature of these technologies made creating these services especially fast and changes to services (for example, a new field in the JSON response) are simple to do. Returning to static types for web services feels strange for many of us; after all, it takes a lot longer to get something going.

However, there is a cost to these: many services are deployed in the cloud nowadays, which means that a pay-as-you-go model is employed together with (practically) infinite scalability. Since—most notably—Python is not known for its execution speed, we can now see the cost...

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