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Rust Standard Library Cookbook

You're reading from Rust Standard Library Cookbook Over 75 recipes to leverage the power of Rust

Product type Paperback

Published in Mar 2018

Publisher Packt

ISBN-13 9781788623926

Length 360 pages

Edition 1st Edition

Languages

Rust

Concepts

Programming Language

Authors (2):

Jan Hohenheim

Daniel Durante

View More author details

Table of Contents (17) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

1. Learning the Basics FREE CHAPTER

2. Working with Collections

3. Handling Files and the Filesystem

4. Serialization

5. Advanced Data Structures

6. Handling Errors

7. Parallelism and Rayon

8. Working with Futures

9. Networking

10. Using Experimental Nightly Features

1. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Serialization basics with Serde

The de facto standard for all things serialization in Rust is the Serde framework. All the other recipes in this chapter are going to use it to some extent. In order to make you familiar with the Serde way of doing things, we are going to rewrite the last recipe using it. Later in the chapter, we will learn in detail how Serde works in order to implement idiomatic deserialization into a homemade format.

How to do it...

Open the Cargo.toml file that was generated earlier for you.
Under [dependencies], add the following lines:

serde = "1.0.24"
serde_derive = "1.0.24"

If you haven't done so already in the last recipe, add the following line as well:

csv = "1.0.0-beta.5"

If you want, you can go to the crates.io web pages for Serde (https://crates.io/crates/serde), serde_derive (https://crates.io/crates/serde_derive), and CSV (https://crates.io/crates/csv) to check for the newest versions and use those ones instead.
In the bin folder, create a file called serde_csv.rs...

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Authors (2)

Jan Hohenheim

Jan Hohenheim

Jan Hohenheim is a senior software engineer and an active contributor to, and advocator of, the open source community. Over the years, he has acquired a deep understanding of systems programming through languages such as C++ and Rust by modernizing and refactoring big and complex codebases. His passions include all things AI and Blockchain. In his free time, he researches innovative approaches to bringing biology and technology closer together, which has led him to develop his own Machine Learning framework. You can follow his projects on GitHub. His username is jnferner.

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Daniel Durante

Daniel Durante

Daniel Durante has nearly a decade of experience in creating Node.js applications with Sequelize. He is currently working on setting up applications and infrastructures for blockchain and options trading analysis. He has been working with Genesis Volatility for the last three years, and currently works as a chief technical officer.

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