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  2. Comparison of programming languages (list comprehension)

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

    Python uses the following syntax to express list comprehensions over finite lists: S = [ 2 * x for x in range ( 100 ) if x ** 2 > 3 ] A generator expression may be used in Python versions >= 2.4 which gives lazy evaluation over its input, and can be used with generators to iterate over 'infinite' input such as the count generator function which ...

  3. List comprehension - Wikipedia

    en.wikipedia.org/wiki/List_comprehension

    Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.

  4. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 2.0 was released on 16 October 2000, with many major new features such as list comprehensions, ... Python 3.13 introduces more syntax for types, ...

  5. Set-builder notation - Wikipedia

    en.wikipedia.org/wiki/Set-builder_notation

    Python uses an English-based syntax. Haskell replaces the set-builder's braces with square brackets and uses symbols, including the standard set-builder vertical bar. The same can be achieved in Scala using Sequence Comprehensions, where the "for" keyword returns a list of the yielded variables using the "yield" keyword. [6]

  6. Filter (higher-order function) - Wikipedia

    en.wikipedia.org/wiki/Filter_(higher-order_function)

    Filter can also be realized using list comprehensions in languages that support them. ... Or, via list comprehension: [x for x in list if pred(x)]. In Python 3, ...

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Numeric literals in Python are of the normal sort, e.g. 0, -1, 3.4, 3.5e-8. Python has arbitrary-length integers and automatically increases their storage size as necessary. Prior to Python 3, there were two kinds of integral numbers: traditional fixed size integers and "long" integers of arbitrary size.

  8. Talk:List comprehension - Wikipedia

    en.wikipedia.org/wiki/Talk:List_comprehension

    Fx Python list comprehension and the Python map function. If think there should be a small subsection describing how the definition (normally? / always?) only applies to language constructs, not to a function, and then two examples of achieving the same (fx Python list comprehension and map-function), stating that the former is indeed list ...

  9. Comparison of server-side web frameworks - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_server-side...

    List comprehension; Object-oriented programming; Object-oriented constructors; Operators. ... BlueBream (Zope 3) Python via add-on products, e.g. Plone w/KSS Yes Pull