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  2. 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.

  3. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    In Python, functions are first-class objects that can be created and passed around dynamically. Python's limited support for anonymous functions is the lambda construct. An example is the anonymous function which squares its input, called with the argument of 5:

  4. Autovivification - Wikipedia

    en.wikipedia.org/wiki/Autovivification

    Python's built-in dict class can be subclassed to implement autovivificious dictionaries simply by overriding the __missing__() method that was added to the class in Python v2.5. [5] There are other ways of implementing the behavior, [ 6 ] [ 7 ] but the following is one of the simplest and instances of the class print just like normal Python ...

  5. Python (programming language) - Wikipedia

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

    In Python, == compares by 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 ...

  6. Generator (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Generator_(computer...

    When eager evaluation is desirable (primarily when the sequence is finite, as otherwise evaluation will never terminate), one can either convert to a list, or use a parallel construction that creates a list instead of a generator. For example, in Python a generator g can be evaluated to a list l via l = list(g), while in F# the sequence ...

  7. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    In mathematical terms, an associative array is a function with finite domain. [1] It supports 'lookup', 'remove', and 'insert' operations. The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays. [2] The two major solutions to the dictionary problem are hash tables and search trees.

  8. Mojo (programming language) - Wikipedia

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

    Mojo was created for an easy transition from Python. The language has syntax similar to Python's, with inferred static typing, [24] and allows users to import Python modules. [25] It uses LLVM and MLIR as its compilation backend. [6] [26] [27] The language also intends to add a foreign function interface to call C/C++ and Python

  9. Return statement - Wikipedia

    en.wikipedia.org/wiki/Return_statement

    In C and C++, return exp; (where exp is an expression) is a statement that tells a function to return execution of the program to the calling function, and report the value of exp. If a function has the return type void, the return statement can be used without a value, in which case the program just breaks out of the current function and ...