Python 3 object oriented programming : harness the power of Python 3 objects

Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Object-Oriented Design -- Introducing object-oriented -- Objects and classes -- Specifying attributes and behaviors -- Data describes objects -- Behaviors are actions -- Hiding details and creating the public interface -- Composition -- Inheritance -- Inheritance provides abstraction -- Multiple inheritance -- Case study -- Exercises -- Summary -- Chapter 2: Objects in Python -- Creating Python classes -- Adding attributes -- Making it do something -- Talking to yourself -- More arguments -- Initializing the object -- Explaining yourself -- Modules and packages -- Organizing modules -- Absolute imports -- Relative imports -- Organizing module content -- Who can access my data? -- Third-party libraries -- 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 -- Abstract base classes -- Using an abstract base class -- Creating an abstract base class -- Demystifying the magic -- Case study -- Exercises -- Summary -- Chapter 4: Expecting the Unexpected -- Raising exceptions -- Raising an exception -- The effects of an exception -- Handling exceptions -- The exception hierarchy -- Defining our own exceptions -- Case study -- Exercises -- Summary -- Chapter 5: When to Use Object-Oriented Programming -- Treat objects as objects -- Adding behaviors to class data with properties -- Properties in detail -- Decorators - another way to create properties -- Deciding when to use properties -- Manager objects -- Removing duplicate code -- In practice -- Case study -- Exercises -- Summary -- Chapter 6: Python Data Structures -- Empty objects ; Tuples and named tuples -- Named tuples -- Dataclasses -- Dictionaries -- Dictionary use cases -- Using defaultdict -- Counter -- Lists -- Sorting lists -- Sets -- Extending built-in functions -- Case study -- Exercises -- Summary -- Chapter 7: Python Object-Oriented Shortcuts -- Python built-in functions -- The len() function -- Reversed -- Enumerate -- File I/O -- Placing it in context -- 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: Strings and Serialization -- Strings -- String manipulation -- String formatting -- Escaping braces -- f-strings can contain Python code -- Making it look right -- Custom formatters -- The format method -- Strings are Unicode -- Converting bytes to text -- Converting text to bytes -- Mutable byte strings -- Regular expressions -- Matching patterns -- Matching a selection of characters -- Escaping characters -- Matching multiple characters -- Grouping patterns together -- Getting information from regular expressions -- Making repeated regular expressions efficient -- Filesystem paths -- Serializing objects -- Customizing pickles -- Serializing web objects -- Case study -- Exercises -- Summary -- Chapter 9: The Iterator Pattern -- Design patterns in brief -- Iterators -- The iterator protocol -- Comprehensions -- List comprehensions -- Set and dictionary comprehensions -- Generator expressions -- Generators -- Yield items from another iterable -- Coroutines -- Back to log parsing -- Closing coroutines and throwing exceptions -- The relationship between coroutines, generators, and functions -- Case study -- Exercises -- Summary -- Chapter 10: Python Design Patterns I -- The decorator pattern -- A decorator example ; Decorators in Python -- The observer pattern -- An observer example -- The strategy pattern -- A strategy example -- Strategy in Python -- The state pattern -- A state example -- State versus strategy -- State transition as coroutines -- The singleton pattern -- Singleton implementation -- Module variables can mimic singletons -- The template pattern -- A template example -- Exercises -- Summary -- Chapter 11: Python Design Patterns II -- The adapter pattern -- The facade pattern -- The flyweight pattern -- The command pattern -- The abstract factory pattern -- The composite pattern -- Exercises -- Summary -- Chapter 12: Testing Object-Oriented Programs -- Why test? -- Test-driven development -- Unit testing -- Assertion methods -- Reducing boilerplate and cleaning up -- Organizing and running tests -- Ignoring broken tests -- Testing with pytest -- One way to do setup and cleanup -- A completely different way to set up variables -- Skipping tests with pytest -- Imitating expensive objects -- How much testing is enough? -- Case study -- Implementing it -- Exercises -- Summary -- Chapter 13: Concurrency -- Threads -- The many problems with threads -- Shared memory -- The global interpreter lock -- Thread overhead -- Multiprocessing -- Multiprocessing pools -- Queues -- The problems with multiprocessing -- Futures -- AsyncIO -- AsyncIO in action -- Reading an AsyncIO Future -- AsyncIO for networking -- Using executors to wrap blocking code -- Streams -- Executors -- AsyncIO clients -- Case study -- Exercises -- Summary -- Other Books You May Enjoy -- Index