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Static typing is a programming language feature where variable types are explicitly declared and checked at compile time, leading to early error detection and improved code reliability. It contrasts with dynamic typing, offering benefits like performance optimization and better tooling support due to known types during development.
Dynamic typing is a programming language feature where variable types are determined at runtime, allowing for more flexibility and less boilerplate code. However, it may lead to runtime errors if type mismatches occur, as opposed to compile-time checks in statically typed languages.
Type inference is a feature of some programming languages where the type of a variable is automatically deduced by the compiler or interpreter, reducing the need for explicit type annotations. It enhances code readability and maintainability while preventing certain types of errors, but can sometimes lead to less predictable behavior if not carefully managed.
Type safety is a programming language feature that ensures operations are performed on the correct data types, preventing type errors at runtime. It enhances program reliability and security by enforcing constraints during compilation or execution, reducing the risk of unexpected behavior and bugs.
Type annotations are a feature in programming languages that allow developers to explicitly specify the data type of variables, function parameters, and return values, enhancing code readability and enabling better error checking. They are particularly useful in statically typed languages and can be leveraged by IDEs and tools for improved code analysis and autocompletion.
Type checking is a process in programming languages that ensures variables are used consistently with their declared types, preventing type errors during execution. It can be performed at compile-time (static Type checking) or at runtime (dynamic Type checking), each offering different trade-offs in terms of performance and flexibility.
A type system is a formal framework within a programming language that classifies data types and enforces rules about how these types interact, ensuring the correctness of programs by preventing type errors. It provides a mechanism for defining, organizing, and managing data types, thus enhancing code safety, readability, and maintainability.
Type migration refers to the process of changing the data type of a variable or data structure within a program to accommodate new requirements or optimize performance. This process is crucial in software development for ensuring compatibility, improving efficiency, and maintaining code quality as systems evolve.
A 'Partial Type' refers to a type system construct where only a subset of the full type information is specified, allowing for flexibility and gradual typing in programming languages. This concept is particularly useful in scenarios requiring type inference, code evolution, and interoperability between statically and dynamically typed languages.
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