python design patterns

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Python design patterns, python Design Patterns

Python design patterns, python Design Patterns This article describes common python design patterns

Learn the basics of Python-data structures, algorithms, design patterns---observer patterns

observers, that is, dependent objects, each time data changes, these 2 view will changeclassHexviewer (object):defUpdate (self, subject):Print 'hexviewer:subject%s has data 0x%x'%(Subject.name, Subject.data)classDecimalviewer (object):defUpdate (self, subject):Print 'decimalviewer:subject%s has data%d'%(Subject.name, Subject.data)if __name__=='__main__': Data1= Data ('Data 1') Data2= Data ('Data 2') View1=decimalviewer () view2=hexviewer () Data1.attach (view1) Data1.attach (view2) Data2.attach

Learn some Python basics-data structures, algorithms, design patterns---visitor patterns

(self) self.engine.accept (visitor) self.body.accept (Visito R) forWheelinchself.wheels:wheel.accept (visitor)#This is our visitor, and every change is here .classPrintvisitor:defVisitwheel (self, Wheel):Print "Visiting"+wheel.name+"Wheel" defVisitengine (self, Engine):Print "Visiting engine" defvisitbody (self, body):Print "Visiting Body" defVisitcar (self, car):Print "Visiting Car"if __name__=='__main__': Car=Car () visitor=printvisitor () car.accept (visitor)Learn some

"Mastering Python Design Patterns" learning structure-based appearance patterns

):def __init__(self): Self.name='Processserver'self.state=state.newdefboot (self):Print('booting the {}'. Format ( self) self.state=state.runningdefKill (Self, restart=True):Print('killing {}'. Format ( self) self.state= Stae.restartifRestartElseState.zobmiedefcreate_process (self, user, name):Print("trying to create process ' {} ' for user ' {} '". Format (name, user)classWindowsServer:PassclassNetworkserver:PassclassOperatingSystem:def __init__(self): Self.fs=fileserver () self.ps=Processserve

Python Design Patterns " appearance patterns " Example Tutorials

The appearance pattern of design patterns in Python advocates less coupling with multiple modules for code management, and is illustrated with examples below. Application Features: When many complex and small functions need to invoke requirements, and these calls often have a certain relevance, that is, a call is a series of. Structural characteristics: The orig

Go Python and Design Patterns

simple point design, the state into the door state, stop state and operating state, the operation is divided into open door, closed, run, stop, the process is also very complex. First of all, the open door state can not open, run, stop, stop the state can not be closed, stop, operation status can not open, close, run. To use a if...else ... Implementation, first code confusion, difficult to maintain, and the second is not easy to expand. As for the v

Python advanced Programming: useful Design Patterns 1

#-*-Coding:utf-8-*-__author__ = ' Administrator '#python高级编程: A useful design pattern#设计械是可复用的, some of the most popular books in a program that provide language-related solutions to the problems of software design awareness:"""Gamma, Heim, Johson and Vlissides a.k.a "Foursome (GOF)" written elements of reusable object-oriented software (Chinese:It is considered

Python implementation of 23 design patterns--Summary

Said to write a summary, the result because find an internship, moving dragged more than half a month, but it doesn't matter, is that they write their own look, to later want to see when turned out to look at, is a kind of miss. Let's talk about Python, people say that C + + programmers are relatively familiar with python, my feeling is also, feel if there is a C basis, plus C + + object-oriented Understan

Python programming: Creating high-quality programs using design patterns, concurrency, and libraries read notes

python programming: Creating high-quality programs using design patterns, concurrency, and librariesDirectory 1 Create design mode 2 structural design mode 3 behavioral design mode 4 advanced con

A single-instance pattern of Python design Patterns (ii)

disadvantage of the singleton mode?While the singleton mode works fine but there are still some problems because the singleton has global access, the following issues may occur: Multiple references to the same object may be created 。 Because a singleton creates only one object, a reference is created on an object in this case. So far, we have introduced the singleton model of the relevant content, follow-up may write about other

Python advanced Programming: useful Design Patterns 3

_remove_stop_words (self,words):Raise Notimplementederrordef _stem_words (self,words):Raise Notimplementederrordef _frequency (self,setemmed_words):counts={}For word in Setemmed_words:Counts[word]=counts.get (word,0) +1#BasicIndex实现如下:From Itertools import GroupByClass Basicindex (Indexer):_stop_words= (' He ', ' she ', ' is ', ' and ', ' or ')def _remove_stop_words (self,words):return (word for word in words if Word is not in self._stop_words)def _stem_words (self,words):Return ((Len (word) >2

Design Patterns: C # Object-oriented design patterns discussion on [Learning: 01. Object-oriented design patterns and principles course notes]

First Lecture: 1. Object-oriented design patterns and principles Introduction to Design Patterns: Each pattern describes a problem that recurs around us, and the core of the solution to the problem.--christopher alexander{Architect} Software designers ' understanding of the concept of

Seven principles of Python, 24 design Patterns

. Intermediary mode (mediator pattern): Use the mediator mode to centralize the complex communication and control between related objects.6. Memo Mode (Memento pattern): When you need to return an object to its previous state (for example, your user requests "undo"), you use Memo mode.7. Observer pattern (Observer pattern): Defines a one-to-many dependency between objects, so that when an object changes state, objects that depend on it are notified and updated automatically.8. State pattern: All

interface classes and abstract classes for Python programming design patterns

" " "ExampleImportABCclassClergy (METACLASS=ABC. Abcmeta):#The canonical subclass must have a cure method@abc. AbstractmethoddefCure (Self, HP):#The canonical method can have a certain code functionHP + = 100returnHPclassHoly (clergy):defCure (Self, HP): HP+ = 100returnHPclassDiscipline (clergy):defCure (Self, HP): HP+ = 100returnHPclassShadow (clergy):defZhiliao (self, HP): HP+ = 100returnHP#create three branches of the priestHoly =Holy () discipline=discipline ()#shadow = Shadow () # Shadow c

A single-instance pattern of Python design patterns

1. due to the different characteristics of the language, the design mode and implementation of the difficulty will be different2. Some patterns have been built into the language, such as the iterator pattern. 3. The singleton mode can be directly implemented with module-level variables .4. Normal Factory mode can be implemented directly by passing in "class name" as parameterSingleton Mode Example:12_eg.pyC

began to learn the book slowly. Python programming: Creating high-quality programs using design patterns, concurrency, and libraries

(width)] ' for ' in range (1, width-1): rows[0][x] = HO Rizontal Rows[height-1][x] = Horizontal for y in range (1, height-1): rows[y][0] = VERTICAL row S[Y][WIDTH-1] = VERTICAL for y, X in ((0, 0), (0, Width-1), (height-1, 0), (height-1, width-1)): ROWS[Y][X] = CORNER return rowsclass rectangle:def __init__ (self, x, y, width, height, fill, stroke): s elf.x = x self.y = y Self.rows = _create_rectangle (width, height, BLANK if fill = = "White" El Se "%") class Text:def __init__ (self, x,

Python advanced Programming: useful Design Patterns 2

):If OBJS in Cls._obj:Cls._obj.remove (OBJS)@classmethoddef not1 (cls,sub):Event=cls (sub)For O in Cls._obj:O (Event)#思路是观察者使用event类方法注册自己, and is obtained by carrying the event that triggers these events, as follows:Class Writevent (object):def __repr__ (self):Return ' writevent (self) 'Def log (event):print '%s:was writees '%event._objWritevent.reg (log)Class Anot (object):def __call__ (self, E):print ' Yean%s told me! ' %eWritevent.reg (Anot)WRITEVENT.NOT1 (' A given file ')#对这个实现, the follow

The observer pattern for Python design patterns

(self,value): Self._product=value self._update_observers () @propertydefQuantity (self):returnself._quantity @quantity. SetterdefQuantity (Self,value): Self._quantity=value self._update_observers ()def_update_observers (self): forObserverinchSelf.observers:observer ()classConsoleobserver:"""docstring for Consoleobserver""" def __init__(self, Inventory): self. Inventory=Inventorydef __call__(self):Print(self.) INVENTORY.PRODUCT)Print(self.) inventory.quantity)Import observerpatter

Learn the basics of Python-data structures, algorithms, design patterns---one-way lists

It seems that the following is the most elegant implementation.Other, either node redundancy, or initialize ugly ...#!/usr/bin/env python#-*-coding:utf-8-*-classNode:def __init__(self, initdata): Self.__data=InitData self.__next=NonedefGetData (self):returnSelf.__data defGetNext (self):returnSelf.__next defSetData (Self, newdata): Self.__data=NewDatadefSetnext (Self, newnext): Self.__next=Newnextclasssincyclinkedlist:def __init__(self): Self.head=No

The builder model of learning Python design patterns

fraiche sauce') defadd_topping (self):Print('adding the topping (Mozzaralla, bacon, ham, mushrooms, red onion, oregano) to you creamy bacon') self.pizza.topping.append ([t forTinch(Pizzatopping.mozzaralla, Pizzatopping.bacon, Pi Zzatopping.ham, Pizzatopping.mushrooms, Pizzatopping.red_onion, Pizzatopping.oregano)]) Time.sleep (Step_delay)Print('Done with the topping (mozzarella, bacon, ham, mushrooms, red onion, oregano)') defBake (self): self.progress=pizzaprogress.bakingPrint('B

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