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Python 3 object oriented programming [[electronic resource] ] : harness the power of Python 3 objects / / Dusty Phillips
| Python 3 object oriented programming [[electronic resource] ] : harness the power of Python 3 objects / / Dusty Phillips |
| Autore | Phillips Dusty |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, U.K., : Packt Open Source, 2010 |
| Descrizione fisica | 1 online resource (405 p.) |
| Disciplina |
005.13
006.76 |
| Collana | Community experience distilled |
| Soggetto topico |
Python (Computer program language)
Object-oriented programming (Computer science) Object-oriented programming languages |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-71248-9
9786612712487 1-84951-127-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; 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
Organizing 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 Chapter 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 Chapter 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 Strategy 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 Strings are Unicode |
| Record Nr. | UNINA-9910459425903321 |
Phillips Dusty
|
||
| Birmingham, U.K., : Packt Open Source, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Python 3 object oriented programming [[electronic resource] ] : harness the power of Python 3 objects / / Dusty Phillips
| Python 3 object oriented programming [[electronic resource] ] : harness the power of Python 3 objects / / Dusty Phillips |
| Autore | Phillips Dusty |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, U.K., : Packt Open Source, 2010 |
| Descrizione fisica | 1 online resource (405 p.) |
| Disciplina |
005.13
006.76 |
| Collana | Community experience distilled |
| Soggetto topico |
Python (Computer program language)
Object-oriented programming (Computer science) Object-oriented programming languages |
| ISBN |
1-282-71248-9
9786612712487 1-84951-127-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; 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
Organizing 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 Chapter 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 Chapter 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 Strategy 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 Strings are Unicode |
| Record Nr. | UNINA-9910785226503321 |
|
Phillips Dusty
|
||
| Birmingham, U.K., : Packt Open Source, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Python 3 object oriented programming : harness the power of Python 3 objects / / Dusty Phillips
| Python 3 object oriented programming : harness the power of Python 3 objects / / Dusty Phillips |
| Autore | Phillips Dusty |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, U.K., : Packt Open Source, 2010 |
| Descrizione fisica | 1 online resource (405 p.) |
| Disciplina |
005.13
006.76 |
| Collana | Community experience distilled |
| Soggetto topico |
Python (Computer program language)
Object-oriented programming (Computer science) Object-oriented programming languages |
| ISBN |
9786612712487
9781282712485 1282712489 9781849511278 1849511276 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; 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
Organizing 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 Chapter 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 Chapter 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 Strategy 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 Strings are Unicode |
| Altri titoli varianti |
Python three object oriented programming
Harness the power of Python 3 objects |
| Record Nr. | UNINA-9910967402603321 |
|
Phillips Dusty
|
||
| Birmingham, U.K., : Packt Open Source, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||