The easiest way to learn Rust I've ever seen!
Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques.You'll be learning Rust by delving into how computers work under the hood. You'll find yourself playing with persistent storage, memory, networking and even tinkering with CPU instructions. The book takes you through using Rust to extend other applications and teaches you tricks to write blindingly fast code. You'll also discover parallel and concurrent programming. Filled to the brim with real-life use-cases and scenarios, you'll go beyond the Rust syntax and see what Rust has to offer in real-world use cases.
1. Introducing Rust
1.1. What is Rust?
1.1.1. Safety
1.1.2. Ergonomics
1.1.3. Control
1.2. Rust’s Big Features
1.2.1. Performance
1.2.2. Concurrency
1.2.3. Memory Efficiency
1.3. Downsides of Rust
1.3.1. Compile Times
1.3.2. Strictness
1.3.3. Size of the Language
1.3.4. Hype
1.3.5. Single Implementation
1.4. Where Rust Fits
1.4.1. Data Processing
1.4.2. Extending an Application
1.4.3. Operating in Resource-constrained Environments
1.4.4. Applications
1.4.5. Systems Programming
1.5. Rust’s hidden feature: its community
1.6. A Taste of the Language
1.6.1. Cheating Your Way To "Hello, world!"
1.6.2. Your First Rust Program
1.7. Summary
Part 1: Just Enough Rust
2. Language Foundations
2.1. A Glance at Rust’s Syntax
2.1.1. A whole program with main()
2.2. Starting out With Numbers
2.3. Type-aware control flow with match
2.4. Getting Stuff Done With Functions
2.5. Advanced Function Definitions
2.5.1. Explicit Lifetime Annotations
2.5.2. Generic Functions
2.6. Creating grep-lite v1
2.7. Making Lists of Things with Arrays, Slices and Vectors
2.7.1. Arrays
2.7.2. Slices
2.7.3. Vectors
2.8. Including Third Party Code
2.8.1. Adding Support for Regular Expressions
2.8.2. Generating Crates' Documentation Locally
2.8.3. Managing Rust toolchains with rustup
2.9. Supporting Command Line Arguments
2.10. Reading From Files
2.11. Reading from STDIN
2.12. Summary
3. Compound Data Types
3.1. Using plain functions to experiment with an API
3.2. Modeling Files With struct
3.3. Adding Methods to a struct with impl
3.3.1. Simplifying object creation by implementing a new() method
3.4. Returning errors
3.4.1. Modifying a known global variable
3.4.2. Making use of the Result return type
3.5. Defining and making use of enum
3.5.1. Using an enum to manage internal state
3.6. Defining Common Behavior with Traits
3.6.1. Creating a Read trait
3.6.2. Implementing Display for your own types
3.7. Exposing your types to the world
3.7.1. Protecting private data
3.8. Creating In-line Documentation
3.8.1. Using rustdoc to Render Docs For a Single Source File
3.8.2. Using cargo to Render Docs for a Crate and its Dependencies
3.9. Summary
4. Lifetimes, Ownership and Borrowing
4.1. “Implementing” a Mock CubeSat Ground Station
4.1.1. Encountering our first lifetime issue
4.1.2. Special behavior of primitive types
4.2. Guide to the figures in this chapter
4.3. What is an Owner? Does it Have any Responsibilities?
4.4. How Ownership Moves
4.5. Resolving Ownership Issues
4.5.1. Use references where full ownership is not required
4.5.2. Use Fewer Long-Lived Values
4.5.3. Duplicate the value
4.5.4. Wrap Data Within Specialty Types
4.6. Summary
Part 2: Programming from the Ground Up (Almost)
5. Data in Depth
5.1. Bit Patterns and Types
5.2. Life of an integer
5.2.1. Understanding Endianness
5.3. Decimal Numbers
5.3.1. About Floating Point
5.3.2. Looking inside an f32
5.3.3. Representing decimal numbers in a single byte with a fixed-point number format
5.4. Generating f32 values between 0 and 1 from random bytes
5.5. Implementing a CPU in Software to Establish that Functions are also Data
5.5.1. CPU 1: “the Adder”
5.5.2. First working emulator
5.5.3. CPU 2: “the Multi-Adder”
5.5.4. CPU 3: Adding functions
5.5.5. CPU 4: Adding the rest
5.6. Summary
6. Memory
6.1. Pointers
6.1.1. Raw pointers in Rust
6.1.2. Rust’s pointer ecosystem
6.1.3. Smart pointer building blocks
6.2. Providing programs with memory for their data
6.2.1. The stack
6.2.2. The heap
6.2.3. What is dynamic memory allocation?
6.3. Virtual Memory
6.3.1. Background
6.3.2. Step 1: Having a Process Scan Its Own Memory
6.3.3. Translating virtual addresses to physical addresses
6.3.4. Step 2: Working with the operating system to scan an address space
6.3.5. Step 3: reading and writing bytes to processes' memory
6.4. Wrap up
7. Files
8. Hashing
9. Trees
10. Networking
Part 3: Concurrent and Parallel Programming
11. Time and Time Keeping
11.1. Background
11.2. Sources of Time
11.3. Definitions
11.4. Encoding Time
11.4.1. Representing time zones
11.5. clock v0.1.0: Teaching an application how to tell the time
11.5.1. clock v0.1.1: Formatting timestamps to comply with ISO 8601 and email standards
11.5.2. Refactoring the clock v0.1.0 code to support wider architecture
11.5.3. Formatting the time as a UNIX timestamp or a formatted string according to ISO 8601, RFC 2822, and RFC 3339
11.5.4. Providing a full command-line interface
11.5.5. The full clock v0.1.1 code listing
11.6. clock v0.1.2: Setting the time
11.6.1. Common behavior
11.6.2. Setting the time in operating systems that use libc
11.6.3. Setting the time on MS Windows
11.6.4. clock v0.1.2 Full code listing
11.7. Improving error handling
11.8. clock v0.1.3 Resolving differences between clocks with the Network Time Protocol (NTP)
11.8.1. Sending NTP requests and interpreting responses
11.8.2. Adjusting the local time as a result of the server’s response
11.8.3. Converting between time representations that use different precisions and epochs
11.8.4. clock v0.1.3 full code listing
11.9. Summary
12. Signals & Interrupts
Part 3: Concurrent and Parallel Programming
13. Creating a Distributed Graph
14. Sharing Resources with Locks
15. Sharing Resources with Atomic Operations
About the Technology
Rust is a new systems programming language that gives you the low-level power of C with the elegance and ease of languages like Ruby and Python. Rust is thread safe, enabling "fearless concurrency". Threads are guaranteed not to overwrite each others' data, but it doesn't impose a garbage collector on you, keeping runtime performance predictable. It incorporates features from functional programming such as higher-order functions that allow for compact, readable programs. Rust is perfect for developers who want to fearlessly explore systems programming with a more ergonomic, less intimidating alternative to C or C++.
What's inside
- Portability with Rust
- Concurrent and parallel programming
- Sharing resources with locks or atomic operations
- Avoiding programming with global state
- Message passing inside your applications
- Memory management and garbage collection
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Densely packed but very approachable, anyone with previous programming experience will find this book an excellent introduction to Rust.