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LinkedIn Learning

Rust Essential Training

via LinkedIn Learning

Overview

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This course offers an introduction to Rust, a popular open-source systems programming language that focuses on speed, memory safety, and parallelism.

Syllabus

Introduction
  • Learn Rust programming
  • What you should know
  • What is Rust?
  • Rust versions
1. Write Your First Program
  • Installing Rust on Windows
  • Installing Rust on Linux and macOS
  • Anatomy of a Rust program
  • Adding comments
  • Building programs using Cargo
2. Primitive Data Types
  • Declaring variables
  • Integer data types
  • Floating-point data types
  • Arithmetic operations
  • Formatting print statements
  • Bitwise operations
  • Boolean data type and operations
  • Comparison operations
  • Char data types
  • Challenge: Find the average
  • Solution: Find the average
3. Compound Data Types
  • Arrays
  • Multidimensional arrays
  • Tuples
4. Functions
  • Function parameters
  • Statements vs. expressions
  • Function return values
  • Challenge: Convert temperature
  • Solution: Convert temperature
5. Program Flow Control
  • Conditional execution
  • Multiple conditions
  • Conditional assignment
  • Loops
  • While loops
  • For loops
  • Nested loops
  • Challenge: Max, min, mean
  • Solution: Max, min, mean
6. Ownership
  • Variable scope
  • Shadowing variables
  • Stack and heap memory
  • String data type
  • Ownership
  • Moving, cloning, and copying data
  • Transferring ownership
7. References
  • Borrowing references
  • Mutable references
  • Dangling references
  • Slices
  • Slices as function parameters
  • Challenge: Trim spaces
  • Solution: Trim spaces
8. Modules
  • Rust Standard Library and prelude
  • Standard input
  • Parse strings
  • Crates
  • Challenge: Higher or lower
  • Solution: Higher or lower
9. Input and Output
  • Command-line arguments
  • Reading from files
  • Writing to files
  • Challenge: Check the roster
  • Solution: Check the roster
10. Structs
  • Defining structs
  • Struct update syntax
  • Struct methods
  • Associated functions
  • Tuple structs
  • Challenge: Represent shapes
  • Solution: Represent shapes
11. Generic Types
  • Generic struct definitions
  • Generic method definitions
  • Generic function definitions
  • Box data type
  • Challenge: Sum boxes
  • Solution: Sum boxes
12. Traits
  • Implement traits
  • Default trait implementation
  • Derive traits
  • Trait bounds
  • Multiple trait bounds
  • Return types with implemented traits
  • Challenge: Implement the display trait
  • Solution: Implement the display trait
13. Lifetimes
  • The borrow checker
  • Lifetime annotation syntax
  • Multiple lifetime annotations
  • Lifetime elision rules
  • Struct lifetime annotations
  • Static lifetime
14. Enums
  • Define enums
  • Match operator
  • Match with default placeholder
  • Enum methods
  • Option enum
  • Matching Option
  • If-let syntax
  • Challenge: Represent a location
  • Solution: Represent a location
15. Error Handling
  • Unrecoverable errors
  • Result enum
  • Matching Result to recover from errors
  • Propagating errors
  • Challenge: Handle errors
  • Solution: Handle errors
16. Collections
  • Vectors
  • HashMaps
  • Challenge: Count words
  • Solution: Count words
Conclusion
  • Where to go next

Taught by

Barron Stone

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4.8 rating at LinkedIn Learning based on 1097 ratings

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