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Python supports most object oriented programming (OOP) techniques. It allows polymorphism, not only within a class hierarchy but also by duck typing. Any object can be used for any type, and it will work so long as it has the proper methods and attributes. And everything in Python is an object, including classes, functions, numbers and modules.
One of the principles, "There should be one-- and preferably only one --obvious way to do it", can be referenced as the "Pythonic" way. [8] The official definition of "Pythonic" is: [2] An idea or piece of code which closely follows the most common idioms of the Python language, rather than implementing code using concepts common to other ...
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects). [72]
Another example is a Print(object o) function that executes different actions based on whether it's printing text or photos. The two different functions may be overloaded as Print(text_object T); Print(image_object P). If we write the overloaded print functions for all objects our program will "print", we never have to worry about the type of ...
Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes. (previous page)
There is an explicit function f that has been proved to be one-way, if and only if one-way functions exist. [5] In other words, if any function is one-way, then so is f . Since this function was the first combinatorial complete one-way function to be demonstrated, it is known as the "universal one-way function".
The first line describes the type of (.) - it takes a pair of functions, f, g and returns a function (the lambda expression on the second line). Note that Haskell doesn't require specification of the exact input and output types of f and g; the a, b, c, and x are placeholders; only the relation between f , g matters (f must accept what g returns).
Multiple dispatch or multimethods is a feature of some programming languages in which a function or method can be dynamically dispatched based on the run-time (dynamic) type or, in the more general case, some other attribute of more than one of its arguments. [1]