Machine learning and especially deep learning has been a rising topic ever since AlexNet's triumph in 2012 (https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf), with the language of choice being mostly Python for its easy-to-use syntax and flexibility. However, the underlying frameworks (TensorFlow, PyTorch, and more) are commonly built using C++, not only for performance reasons but also because accessing hardware (such as a GPU) is a lot easier. Rust has—so far—not been the language of choice to implement lower-level frameworks. Even outside the area of deep learning, Rust lacks library support in several areas including data preparation, classical machine learning, and optimization (progress is tracked here: http://www.arewelearningyet.com/)—so, why bother using Rust...
Rust Programming Cookbook
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Rust Programming Cookbook
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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)
Preface
Free Chapter
Starting Off with Rust
Going Further with Advanced Rust
Managing Projects with Cargo
Fearless Concurrency
Handling Errors and Other Results
Expressing Yourself with Macros
Integrating Rust with Other Languages
Safe Programming for the Web
Systems Programming Made Easy
Getting Practical with Rust
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