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Python's syntax is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, first-class functions, and modules for better code reusability and organization. Python also uses English keywords where other languages use punctuation ...
It has filter,mapandreduce functions; list ... of t while conforming to the immutable nature of tuple objects. Parentheses are optional for tuples in unambiguous ...
Tuple In mathematics, a tuple is a finite sequence or ordered list of numbers or, more generally, mathematical objects, which are called the elements of the tuple. An n-tuple is a tuple of n elements, where n is a non-negative integer. There is only one 0-tuple, called the empty tuple. A 1-tuple and a 2-tuple are commonly called a singleton and an ordered pair, respectively.
In mathematics, an ordered pair ( a, b) is a pair of objects. The order in which the objects appear in the pair is significant: the ordered pair ( a, b) is different from the ordered pair ( b, a) unless a = b. (In contrast, the unordered pair { a, b } equals the unordered pair { b, a }.) Ordered pairs are also called 2-tuples, or sequences ...
In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions. It is a declarative programming paradigm in which function definitions are trees of expressions that map values to other values, rather than a sequence of imperative statements which update the running state of the program.
Map (higher-order function) In many programming languages, map is a higher-order function that applies a given function to each element of a collection, e.g. a list or set, returning the results in a collection of the same type. It is often called apply-to-all when considered in functional form . The concept of a map is not limited to lists: it ...
Everything is an expression Type inference (using Hindley–Milner type inference) Functions as first-class citizens Anonymous functions with capturing semantics (i.e., closures) Immutable variables and objects Lazy evaluation support Higher-order functions Nested functions Currying Pattern matching Algebraic data types Tuples List comprehension
List of data structures This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures .