Python 3 Object-oriented Programming - Second Edition

Table of contents

1. Python 3 Object-oriented Programming Second Edition
   1. Table of Contents
   2. Python 3 Object-oriented Programming Second Edition
   3. Credits
   4. About the Author
   5. About the Reviewers
   6. www.PacktPub.com
      1. Support files, eBooks, discount offers, and more
         1. Why subscribe?
         2. Free access for Packt account holders
   7. Introduction to the second edition
   8. Preface
      1. What this book covers
      2. What you need for this book
      3. Who this book is for
      4. Conventions
      5. Reader feedback
      6. Customer support
         1. Downloading the example code
         2. Errata
         3. Piracy
         4. Questions
   9. 1. Object-oriented Design
      1. Introducing object-oriented
      2. Objects and classes
      3. Specifying attributes and behaviors
         1. Data describes objects
         2. Behaviors are actions
      4. Hiding details and creating the public interface
      5. Composition
      6. Inheritance
         1. Inheritance provides abstraction
         2. Multiple inheritance
      7. Case study
      8. Exercises
      9. Summary
   10. 2. Objects in Python
       1. Creating Python classes
          1. Adding attributes
          2. Making it do something
             1. Talking to yourself
             2. More arguments
          3. Initializing the object
          4. Explaining yourself
       2. Modules and packages
          1. Organizing the modules
             1. Absolute imports
             2. Relative imports
       3. Organizing module contents
       4. Who can access my data?
       5. Third-party libraries
       6. Case study
       7. Exercises
       8. Summary
   11. 3. When Objects Are Alike
       1. Basic inheritance
          1. Extending built-ins
          2. Overriding and super
       2. Multiple inheritance
          1. The diamond problem
          2. Different sets of arguments
       3. Polymorphism
       4. Abstract base classes
          1. Using an abstract base class
          2. Creating an abstract base class
          3. Demystifying the magic
       5. Case study
       6. Exercises
       7. Summary
   12. 4. Expecting the Unexpected
       1. Raising exceptions
          1. Raising an exception
          2. The effects of an exception
          3. Handling exceptions
          4. The exception hierarchy
          5. Defining our own exceptions
       2. Case study
       3. Exercises
       4. Summary
   13. 5. When to Use Object-oriented Programming
       1. Treat objects as objects
       2. Adding behavior to class data with properties
          1. Properties in detail
          2. Decorators – another way to create properties
          3. Deciding when to use properties
       3. Manager objects
          1. Removing duplicate code
          2. In practice
       4. Case study
       5. Exercises
       6. Summary
   14. 6. Python Data Structures
       1. Empty objects
       2. Tuples and named tuples
          1. Named tuples
       3. Dictionaries
          1. Dictionary use cases
          2. Using defaultdict
             1. Counter
       4. Lists
          1. Sorting lists
       5. Sets
       6. Extending built-ins
       7. Queues
          1. FIFO queues
          2. LIFO queues
          3. Priority queues
       8. Case study
       9. Exercises
       10. Summary
   15. 7. Python Object-oriented Shortcuts
       1. Python built-in functions
          1. The len() function
          2. Reversed
          3. Enumerate
          4. File I/O
          5. Placing it in context
       2. An alternative to method overloading
          1. Default arguments
          2. Variable argument lists
          3. Unpacking arguments
       3. Functions are objects too
          1. Using functions as attributes
          2. Callable objects
       4. Case study
       5. Exercises
       6. Summary
   16. 8. Strings and Serialization
       1. Strings
          1. String manipulation
          2. String formatting
             1. Escaping braces
             2. Keyword arguments
             3. Container lookups
             4. Object lookups
             5. Making it look right
          3. Strings are Unicode
             1. Converting bytes to text
             2. Converting text to bytes
          4. Mutable byte strings
       2. Regular expressions
          1. Matching patterns
             1. Matching a selection of characters
             2. Escaping characters
             3. Matching multiple characters
             4. Grouping patterns together
          2. Getting information from regular expressions
             1. Making repeated regular expressions efficient
       3. Serializing objects
          1. Customizing pickles
          2. Serializing web objects
       4. Case study
       5. Exercises
       6. Summary
   17. 9. The Iterator Pattern
       1. Design patterns in brief
       2. Iterators
          1. The iterator protocol
       3. Comprehensions
          1. List comprehensions
          2. Set and dictionary comprehensions
          3. Generator expressions
       4. Generators
          1. Yield items from another iterable
       5. Coroutines
          1. Back to log parsing
          2. Closing coroutines and throwing exceptions
          3. The relationship between coroutines, generators, and functions
       6. Case study
       7. Exercises
       8. Summary
   18. 10. Python Design Patterns I
       1. The decorator pattern
          1. A decorator example
          2. Decorators in Python
       2. The observer pattern
          1. An observer example
       3. The strategy pattern
          1. A strategy example
          2. Strategy in Python
       4. The state pattern
          1. A state example
          2. State versus strategy
          3. State transition as coroutines
       5. The singleton pattern
          1. Singleton implementation
       6. The template pattern
          1. A template example
       7. Exercises
       8. Summary
   19. 11. Python Design Patterns II
       1. The adapter pattern
       2. The facade pattern
       3. The flyweight pattern
       4. The command pattern
       5. The abstract factory pattern
       6. The composite pattern
       7. Exercises
       8. Summary
   20. 12. Testing Object-oriented Programs
       1. Why test?
          1. Test-driven development
       2. Unit testing
          1. Assertion methods
          2. Reducing boilerplate and cleaning up
          3. Organizing and running tests
          4. Ignoring broken tests
       3. Testing with py.test
          1. One way to do setup and cleanup
          2. A completely different way to set up variables
          3. Skipping tests with py.test
       4. Imitating expensive objects
       5. How much testing is enough?
       6. Case study
          1. Implementing it
       7. Exercises
       8. Summary
   21. 13. Concurrency
       1. Threads
          1. The many problems with threads
             1. Shared memory
             2. The global interpreter lock
          2. Thread overhead
       2. Multiprocessing
          1. Multiprocessing pools
          2. Queues
          3. The problems with multiprocessing
       3. Futures
       4. AsyncIO
          1. AsyncIO in action
          2. Reading an AsyncIO future
          3. AsyncIO for networking
          4. Using executors to wrap blocking code
          5. Streams
             1. Executors
       5. Case study
       6. Exercises
       7. Summary
   22. Index