Search results
Results from the WOW.Com Content Network
List comprehension is a syntactic construct available in some programming languages for creating a list based on existing lists. It follows the form of the mathematical set-builder notation (set comprehension) as distinct from the use of map and filter functions.
An intersection of a type family, denoted :, is a dependent type in which the type may depend on the term variable . In particular, if a term M {\displaystyle M} has the type ⋂ x : σ τ {\textstyle \bigcap _{x:\sigma }\tau } , then for each term N {\displaystyle N} of type σ {\displaystyle \sigma } , the term M {\displaystyle M} has the ...
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})
Python's is operator may be used to compare object identities (comparison by reference), and comparisons may be chained—for example, a <= b <= c. Python uses and, or, and not as Boolean operators. Python has a type of expression named a list comprehension, and a more general expression named a generator expression. [78]
For example, in Python, any class can implement an __iter__ method and be used as a collection. [3] Type classes in languages like Haskell, or module signatures in ML and OCaml, are used for many of the things that protocols are used for. [clarification needed] In Rust, interfaces are called traits. [4]
Intersection types are useful for describing overloaded function types: for example, if "int → int" is the type of functions taking an integer argument and returning an integer, and "float → float" is the type of functions taking a float argument and returning a float, then the intersection of these two types can be used to describe ...
Parse tree of Python code with inset tokenization. The syntax of textual programming languages is usually defined using a combination of regular expressions (for lexical structure) and Backus–Naur form (a metalanguage for grammatical structure) to inductively specify syntactic categories (nonterminal) and terminal symbols. [7]
It is strongly influenced by Python, C#, Eiffel, Objective-C, and other programming languages. [3] It supports both static and dynamic typing. [4] [5] It has support for unit tests and contracts. [4] It has lambda expressions, closures, list comprehensions, and generators. [6]