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135   $aur|n|---|||||
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183   $acr
200 10$aPython 3 object oriented programming$b[electronic resource] $eharness the power of Python 3 objects /$fDusty Phillips
205   $a1st edition
210   $aBirmingham, U.K. $cPackt Open Source$d2010
215   $a1 online resource (405 p.)
225 1 $aCommunity experience distilled
300   $aIncludes index.
311   $a1-84951-126-8 
327   $aCover; Copyright; Credits; About the Author; About the Reviewers; Table of Contents; Preface; Chapter 1: Object-oriented Design; Object-oriented?; Objects and classes; Specifying attributes and behaviors; Data describes objects; Behaviors are actions; Hiding details and creating the public interface; Composition and inheritance; Inheritance; Inheritance provides abstraction; Multiple inheritance; Case study; Exercises; Summary; Chapter 2: Objects in Python; Creating Python classes; Adding attributes; Making it do something; Initializing the object; Explaining yourself; Modules and packages
327   $aOrganizing the modulesAbsolute imports; Relative imports; Who can access my data?; Case study; Exercises; Summary; Chapter 3: When Objects are Alike; Basic inheritance; Extending built-ins; Overriding and super; Multiple inheritance; The diamond problem; Different sets of arguments; Polymorphism; Case study; Exercises; Summary; Chapter 4: Expecting the Unexpected; Raising exceptions; Raising an exception; What happens when an exception occurs?; Handling exceptions; Exception hierarchy; Defining our own exceptions; Exceptions aren't exceptional; Case study; Exercises; Summary
327   $aChapter 5: When to Use Object-oriented ProgrammingTreat objects as objects; Using properties to add behavior to class data; How it works; Decorators: another way to create properties; When should we use properties?; Managing objects; Removing duplicate code; In practice; Or we can use composition; Case study; Exercises; Summary; Chapter 6: Python Data Structures; Empty objects; Tuples and named tuples; Named tuples; Dictionaries; When should we use dictionaries?; Using defaultdict; Lists; Sorting lists; Sets; Extending built-ins; Case study; Exercises; Summary
327   $aChapter 7: Python Object-oriented ShortcutsPython built-in functions; Len; Reversed; Enumerate; Zip; Other functions; Comprehensions; List comprehensions; Set and dictionary comprehensions; Generator expressions; Generators; An alternative to method overloading; Default arguments; Variable argument lists; Unpacking arguments; Functions are objects too; Using functions as attributes; Callable objects; Case study; Exercises; Summary; Chapter 8: Python Design Patterns I; Design patterns; Decorator pattern; Decorator example; Decorators in Python; Observer pattern; Observer example
327   $aStrategy patternStrategy example; Strategy in Python; State pattern; State example; State versus strategy; Singleton pattern; Singleton implementation; Module variables can mimic singletons; Template pattern; Template example; Exercises; Summary; Chapter 9: Python Design Patterns II; Adapter pattern; Facade pattern; Flyweight pattern; Command pattern; Abstract factory pattern; Composite pattern; Exercise; Summary; Chapter 10: Files and Strings; Strings; String manipulation; String formatting; Escaping braces; Keyword arguments; Container lookups; Object lookups; Making it look right
327   $aStrings are Unicode
330   $aHarness the power of Python 3 objects
606   $aPython (Computer program language)
606   $aObject-oriented programming (Computer science)
606   $aObject-oriented programming languages
608   $aElectronic books.
615  0$aPython (Computer program language)
615  0$aObject-oriented programming (Computer science)
615  0$aObject-oriented programming languages.
676   $a005.13
676   $a006.76
700   $aPhillips$b Dusty$0928590
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910459425903321
996   $aPython 3 object oriented programming$92086981
997   $aUNINA