Książka Practical Rust 1.x Cookbook, Second Edition Lloyd Frank

Practical Rust 1.x Cookbook, Second Edition

Autor: Lloyd Frank
Język: Angielski
Oprawa: Miękka
Wydawca: GitforGits
Dostępność: Dostępna u dostawcy
Wysyłamy za 9-15 dni
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If you want to learn how to program in Rust and create strong, reliable apps with the most recent ve...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2024
strony
292
EAN
9788119177332
ISBN
8119177339
Enbook ID
46124148
Wydawca
Waga
550
Wymiary
191 x 235 x 16

Pełny opis

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. 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. You'll learn to write efficient and secure code by managing memory, using ownership model and borrowing rules.


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. 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.


Table of Content

  1. Setting up and Configuring Rust Environment
  2. Hands-on Traits, Enums and Struct
  3. Pattern Matching, Concurrency, Pointers and Modules
  4. Using Declarative and Procedural Macros
  5. Implementing Concurrency and Multithreading
  6. Asynchronous Programming
  7. Developing REST and SOAP APIs
  8. Building Microservices & Architectures
  9. Working around CI/CD
  10. Working around Kubernetes
  11. Fuzz Testing and Static Analysis
  12. Code Performance Optimization

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