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  2. Comparison of programming languages by type system

    en.wikipedia.org/wiki/Comparison_of_programming...

    static Python: strong implicit (with optional explicit typing as of 3.5) nominal dynamic R: implicit dynamic Raku: partially implicit [TS 7] dynamic with optional static typing REBOL: strong implicit dynamic Rexx: typeless —, implicit wrt numbers — static+dynamic wrt numbers RPG: weak static Ruby: strong implicit — dynamic Rust: strong

  3. Type safety - Wikipedia

    en.wikipedia.org/wiki/Type_safety

    In computer science, type safety and type soundness are the extent to which a programming language discourages or prevents type errors.Type safety is sometimes alternatively considered to be a property of facilities of a computer language; that is, some facilities are type-safe and their usage will not result in type errors, while other facilities in the same language may be type-unsafe and a ...

  4. Strong and weak typing - Wikipedia

    en.wikipedia.org/wiki/Strong_and_weak_typing

    Many of these are more accurately understood as the presence or absence of type safety, memory safety, static type-checking, or dynamic type-checking. "Strong typing" generally refers to use of programming language types in order to both capture invariants of the code , and ensure its correctness, and definitely exclude certain classes of ...

  5. Duck typing - Wikipedia

    en.wikipedia.org/wiki/Duck_typing

    Structural typing is a static typing system that determines type compatibility and equivalence by a type's structure, whereas duck typing is dynamic and determines type compatibility by only that part of a type's structure that is accessed during runtime. The TypeScript, [6] Elm [7] and Python [8] languages support structural typing to varying ...

  6. Type system - Wikipedia

    en.wikipedia.org/wiki/Type_system

    The process of verifying and enforcing the constraints of types—type checking—may occur at compile time (a static check) or at run-time (a dynamic check). If a language specification requires its typing rules strongly, more or less allowing only those automatic type conversions that do not lose information, one can refer to the process as strongly typed; if not, as weakly typed.

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python allows the creation of class methods and static methods via the use of the @classmethod and @staticmethod decorators. The first argument to a class method is the class object instead of the self-reference to the instance. A static method has no special first argument. Neither the instance, nor the class object is passed to a static method.

  8. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    Static application security testing (Static Code Analysis) tool Online Semgrep: 2025-02-27 (1.110.0) Yes; LGPL v2.1 — — Java JavaScript, TypeScript — Python Go, JSON, PHP, Ruby, language-agnostic mode A static analysis tool that helps expressing code standards and surfacing bugs early. It also has experimental support for eleven other ...

  9. Scope (computer science) - Wikipedia

    en.wikipedia.org/wiki/Scope_(computer_science)

    By contrast, in dynamic scope (or dynamic scoping), if a variable name's scope is a certain function, then its scope is the time-period during which the function is executing: while the function is running, the variable name exists, and is bound to its value, but after the function returns, the variable name does not exist.