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Python syntax and semantics a snippet of python code demonstrating binary search the syntax of the python programming language is the set of rules that defines how a python program will be written and interpreted (by both the runtime system and by human readers) [59] many other paradigms are supported via extensions, including design by contract [60][61] and logic programming The python language has many similarities to perl, c, and java.

The zen of python output in a terminal the zen of python is a collection of 19 guiding principles for writing computer programs that influence the design of the python programming language C#, [1] f#, [2] haskell, [3] java, [4] ml, python, [5] racket, [6] ruby, [7] rust, [8] scala, [9] swift [10] and the symbolic mathematics language mathematica have special syntax for expressing tree patterns and a language. [1] python code that aligns with these principles is often referred to as pythonic

[2] software engineer tim peters wrote this set of principles and posted it on the python mailing list in 1999

In python, the pattern is built into the language, and each.py file is automatically a module. The iterator pattern decouples algorithms from containers Visitor pattern a visitor pattern is a software design pattern that separates the algorithm from the object structure Because of this separation, new operations can be added to existing object structures without modifying the structures

In computer programming, the strategy pattern (also known as the policy pattern) is a behavioral software design pattern that enables selecting an algorithm at runtime Instead of implementing a single algorithm directly, code receives runtime instructions as to which in a family of algorithms to use [1] strategy lets the algorithm vary independently from clients that use it Pages in category articles with example python (programming language) code the following 200 pages are in this category, out of approximately 234 total

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Tree patterns are used in some programming languages as a general tool to process data based on its structure, e.g

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