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  2. 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:

  3. Function (computer programming) - Wikipedia

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

    Most modern programming languages provide features to define and call functions, including syntax for accessing such features, including: Delimit the implementation of a function from the rest of the program; Assign an identifier, name, to a function; Define formal parameters with a name and data type for each; Assign a data type to the return ...

  4. Python (programming language) - Wikipedia

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

    Functions are created in Python using the def keyword. In Python, you define the function as if you were calling it, by typing the function name and then the attributes required. Here is an example of a function that will print whatever is given:

  5. Comparison of programming languages (syntax) - Wikipedia

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

    The enclosed text becomes a string literal, which Python usually ignores (except when it is the first statement in the body of a module, class or function; see docstring). Elixir The above trick used in Python also works in Elixir, but the compiler will throw a warning if it spots this.

  6. Closure (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Closure_(computer_programming)

    The only difference in implementation is that in the first case we used a nested function with a name, g, while in the second case we used an anonymous nested function (using the Python keyword lambda for creating an anonymous function). The original name, if any, used in defining them is irrelevant. A closure is a value like any other value.

  7. Iterator - Wikipedia

    en.wikipedia.org/wiki/Iterator

    An internal iterator is a higher-order function (often taking anonymous functions) that traverses a collection while applying a function to each element. For example, Python's map function applies a caller-defined function to each element:

  8. Higher-order function - Wikipedia

    en.wikipedia.org/wiki/Higher-order_function

    In mathematics and computer science, a higher-order function (HOF) is a function that does at least one of the following: takes one or more functions as arguments (i.e. a procedural parameter, which is a parameter of a procedure that is itself a procedure), returns a function or value as its result. All other functions are first-order functions.

  9. Foreign function interface - Wikipedia

    en.wikipedia.org/wiki/Foreign_function_interface

    The term comes from the specification for Common Lisp, which explicitly refers to the programming language feature enabling for inter-language calls as such; [citation needed] the term is also often used officially by the interpreter and compiler documentation for Haskell, [1] Rust, [2] PHP, [3] Python, and LuaJIT [4] [5]: 35 . [6]