Type Systems

Enforces that variables are used at most once, allowing for optimizations such as memory reuse.

Kind of composite type, i.e., a type formed by combining other types.

Type system where types depend on terms, allowing for more expressive type constraints.

Style of dynamic typing where an object's behavior determines its type rather than its inheritance.

Dynamic typing defers type checking until runtime, allowing variables to hold different types at different times.

The types of variables can change based on control flow in the program.

Uses algorithms that can work with several different but related data types.

Allows mixing statically and dynamically typed code, progressively introducing type annotations.

Types are automatically deduced without requiring explicit type annotations.

Dynamic typing model where type constraints are deferred until runtime, similar to duck typing.

All variables are explicitly typed in the code, usually associated with static typing.

Compatibility between types is determined by explicit declarations or names, rather than structure.

Manage and enforce types for objects and classes, focusing on inheritance and polymorphism.

Allows for type annotations to be included or omitted, offering flexibility between static and dynamic typing.

Allows types to be parameterized and reused with different data types, enhancing code reusability.

Run time time information is a feature that allows a program to retrieve type information about an object during runtime.

Ensures that operations are performed on compatible types, preventing unintended behavior and runtime errors.

Checks type correctness at compile-time, reducing runtime errors by ensuring variables are properly typed before execution.

Handling and validation of types through strings.

Enforces strict type rules, ensuring that variables cannot be implicitly cast or used in an unintended way.

Bases type compatibility on the structure of data rather than explicit type declarations or names.

Enforces that certain values are used only once, allowing optimizations like in-place updates in functional programming.

Lacks explicit types, with variables and functions being dynamically interpreted based on their usage.

Allows for more flexible type conversions, where variables can be implicitly cast between types, sometimes leading to unexpected results.