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python-patterns

A collection of design patterns and idioms in Python.

When an implementation is added or modified, be sure to update this file and rerun append_output.sh (eg. ./append_output.sh borg.py) to keep the output comments at the bottom up to date.

Examples and references from: https://github.com/domnikl/DesignPatternsPHP

Design Patterns:

PatternDescription
Static factoryClass with static method for creating object📄
📊
Simple factorySingle class for creating objects📄
📊
Factory method"Define an interface for creating an object, but let the classes that implement the interface decide which class to instantiate. The Factory method lets a class defer instantiation to subclasses."📄
📊
📖
Abstract factory"Provide an interface for creating families of related or dependent objects without specifying their concrete classes."📄
📊
📖

All other Patterns:

PatternDescription
3-tierdata<->business logic<->presentation separation (strict relationships)
adapteradapt one interface to another using a whitelist
borga singleton with shared-state among instances
bridgea client-provider middleman to soften interface changes
buildercall many little discrete methods rather than having a huge number of constructor parameters
cataloggeneral methods will call different specialized methods based on construction parameter
chainapply a chain of successive handlers to try and process the data
commandbundle a command and arguments to call later
compositeencapsulate and provide access to a number of different objects
decoratorwrap functionality with other functionality in order to affect outputs
facadeuse one class as an API to a number of others
flyweighttransparently reuse existing instances of objects with similar/identical state
graph_search(graphing algorithms, not design patterns)
mediatoran object that knows how to connect other objects and act as a proxy
mementogenerate an opaque token that can be used to go back to a previous state
mvcmodel<->view<->controller (non-strict relationships)
observerprovide a callback for notification of events/changes to data
poolpreinstantiate and maintain a group of instances of the same type
prototypeuse a factory and clones of a prototype for new instances (if instantiation is expensive)
proxyan object funnels operations to something else
publish_subscribea source syndicates events/data to 0+ registered listeners
statelogic is org'd into a discrete number of potential states and the next state that can be transitioned to
strategyselectable operations over the same data
templatean object imposes a structure but takes pluggable components
visitorinvoke a callback for all items of a collection
chaining_methodcontinue callback next object method

Abstract factory vs factory method patterns: what's the difference:

Abstract Factory allows to create several different type of instances in one sub-class, and to particularize the creations behavior in its different sub-classes; normally, Factory method declares the creation of only one type of object that can be particularized according to the sub-classing mechanism. http://stackoverflow.com/questions/4209791/design-patterns-abstract-factory-vs-factory-method

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A collection of design patterns/idioms in Python

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