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In computer programming, a naming convention is a set of rules for choosing the character sequence to be used for identifiers which denote variables, types, functions, and other entities in source code and documentation. Reasons for using a naming convention (as opposed to allowing programmers to choose any character sequence) include the ...
Snake case (sometimes stylized autologically as snake_case) is the naming convention in which each space is replaced with an underscore (_) character, and words are written in lowercase. It is a commonly used naming convention in computing, for example for variable and subroutine names, and for filenames.
Related to sigils is Hungarian notation, a naming convention for variables that specifies variable type by attaching certain alphabetic prefixes to the variable name. Unlike sigils, however, Hungarian notation provides no information to the compiler; as such, explicit types must be redundantly specified for the variables (unless using a ...
An identifier I' (for variable X') masks an identifier I (for variable X) when two conditions are met I' has the same name as I; I' is defined in a scope which is a subset of the scope of I; The outer variable X is said to be shadowed by the inner variable X'. For example, the parameter "foo" shadows the local variable "foo" in this common pattern:
Common elements of coding style include: Indentation and whitespace character use – Ensures consistent block structures and improves readability.; Naming conventions – Standardizes how variables, functions, and classes are named, typically adhering to camelCase, snake case, or PascalCase, depending on the language.
Coding conventions are only applicable to the human maintainers and peer reviewers of a software project. Conventions may be formalized in a documented set of rules that an entire team or company follows, [1] or may be as informal as the habitual coding practices of an individual. Coding conventions are not enforced by compilers.
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
In a dynamically typed language, where type can only be determined at runtime, many type errors can only be detected at runtime. For example, the Python code a + b is syntactically valid at the phrase level, but the correctness of the types of a and b can only be determined at runtime, as variables do not have types in Python, only values do.