Enhance Your Understanding with Rust Programming Language Concept Cards for quick learning
A systems programming language that focuses on safety, speed, and concurrency. It guarantees memory safety and prevents data races.
Containers that hold values. In Rust, variables are immutable by default, but can be made mutable using the 'mut' keyword.
The classification of values in Rust. Common data types include integers, floating-point numbers, booleans, characters, and strings.
The order in which statements are executed in a program. Rust provides control flow structures like if-else, loops, and match expressions.
Reusable blocks of code that perform specific tasks. They can have parameters and return values, and can be defined using the 'fn' keyword.
A unique feature of Rust that ensures memory safety and prevents data races. It allows only one variable to own a particular piece of data at a time.
A concept in Rust that allows multiple references to a piece of data without transferring ownership. Borrowing can be mutable or immutable.
Custom data types that can hold multiple values of different types. They are defined using the 'struct' keyword and can have associated functions.
A type that represents a value from a fixed set of possibilities. Enums are defined using the 'enum' keyword and can have associated data.
The process of dealing with errors in a program. Rust provides the 'Result' and 'Option' types for handling and propagating errors.
The ability of a program to execute multiple tasks simultaneously. Rust provides concurrency primitives like threads, channels, and locks.
A way to organize code into separate files and namespaces. Modules help in managing the complexity of large programs in Rust.
A collection of one or more crates. Crates are the compilation units in Rust, and packages provide a way to distribute and reuse code.
The process of verifying that a program behaves as expected. Rust has a built-in testing framework that allows writing tests for functions and modules.
The process of providing explanations, examples, and usage instructions for code. Rust has a built-in documentation system based on comments.
The process of allocating and deallocating memory in a program. Rust uses a combination of stack allocation and automatic memory management.
Advanced topics in Rust programming, including traits, generics, macros, unsafe code, and interop with other languages.
A fundamental concept in Rust that ensures memory safety and prevents data races. It allows for efficient memory management without a garbage collector.
A powerful feature in Rust that allows matching values against patterns. It is used in control flow, destructuring, and error handling.
Anonymous functions that can capture variables from their surrounding environment. Closures are a concise way to define behavior in Rust.
A way to define shared behavior across multiple types in Rust. Traits allow for code reuse and enable generic programming.
A feature in Rust that allows writing code that can work with multiple types. Generics enable writing reusable and flexible code.
A way to define custom syntax and code generation in Rust. Macros allow for metaprogramming and can expand into arbitrary Rust code.
A mechanism in Rust that allows bypassing certain safety checks. Unsafe code should be used sparingly and with caution.
The ability of Rust to interact with code written in other programming languages, such as C, C++, and JavaScript.
The package manager and build system for Rust. Cargo simplifies the process of managing dependencies and building Rust projects.
The compilation units in Rust. Crates can be libraries or executables, and they provide a way to organize and reuse code.
A way to control the visibility of code in Rust. Modules allow for organizing code into separate namespaces and controlling access.
The ability of a program to execute multiple tasks simultaneously and make use of multiple CPU cores. Rust provides powerful concurrency and parallelism primitives.
A robust error handling mechanism in Rust. The 'Result' type is used to represent the success or failure of an operation.
A powerful feature in Rust that allows matching values against patterns and extracting their components. It is used in control flow and data manipulation.
A combination of features in Rust that enable code reuse and generic programming. Traits define shared behavior, and generics allow for writing flexible code.
A mechanism in Rust for communication between concurrent tasks. Channels are used to send and receive messages between threads.
A feature in Rust that allows bypassing certain safety checks using raw pointers. Unsafe code should be used with caution and only when necessary.
Best practices for writing tests and documenting code in Rust. Testing ensures the correctness of code, and documentation helps in understanding and using it.
The key goals of Rust programming. Memory safety ensures that programs are free from memory-related bugs, and data races are prevented by the ownership system.
A mechanism in Rust for representing the presence or absence of a value. The 'Option' type is used to handle cases where a value may be missing.
A challenge in concurrent programming where multiple tasks access and modify shared data. Rust provides synchronization primitives to handle shared state safely.
A feature in Rust that allows calling functions written in other programming languages, such as C, C++, and JavaScript, using the Foreign Function Interface (FFI).
A mechanism in Rust for handling unrecoverable errors. Panicking terminates the program and provides a way to report errors and unwind the stack.
A programming paradigm in Rust that allows writing concurrent code that is more efficient and scalable. Asynchronous programming is achieved using futures and async/await syntax.
A feature in Rust that allows implementing unsafe traits, which have additional requirements and responsibilities compared to safe traits. Unsafe traits are used for low-level abstractions.
A technique in Rust for testing code by specifying properties that should hold true. Property-based testing generates random inputs to validate the behavior of functions.
A way to leverage multiple CPU cores in Rust by parallelizing algorithms. Parallel algorithms divide the work into smaller tasks that can be executed concurrently.
A development methodology in Rust that emphasizes writing tests before writing code. Test-driven development helps in designing and implementing correct and maintainable software.
A technique in Rust for writing concurrent code without using locks. Lock-free programming avoids contention and can lead to better performance.
A feature in Rust that allows defining unsafe functions, which have additional requirements and responsibilities compared to safe functions. Unsafe functions are used for low-level operations.
A technique in Rust for simulating dependencies during testing. Mocking allows isolating the code under test and verifying its behavior in controlled environments.
A programming model in Rust for building concurrent systems. The actor model treats concurrent tasks as independent actors that communicate through message passing.