Name: Python Object-Oriented Programming
Author: Steven F. Lott [加]Dusty Phillips
ISBN: 9781836642589

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Python Object-Oriented Programming

Steven F. Lott [加]Dusty Phillips

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Preface
Who this book is for
What this book covers
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Chapter 1 Object-Oriented Design
1.1 Technical requirements
1.2 What object-oriented means
1.3 Objects and classes
1.4 Specifying attributes and behaviors
1.5 Hiding details and creating the public interface
1.6 Design principles
1.7 Collaboration among objects
1.8 A potential mess
1.9 Recall
1.10 Exercises
1.11 Summary
Chapter 2 Objects in Python
2.1 Technical requirements
2.2 Introducing types and classes
2.3 Creating Python classes
2.4 Composition and decomposition
2.5 Who can access my data?
2.6 Modules and packages
2.7 Third-party libraries and virtual environments
2.8 Virtual environment management
2.9 Recall
2.10 Exercises
2.11 Summary
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Chapter 3 When Objects Are Alike
3.1 The inheritance relationship
3.2 Using inheritance
3.3 Composition as an alternative to inheritance
3.4 Multiple inheritance
3.5 Polymorphism
3.6 Recall
3.7 Exercises
3.8 Summary
Chapter 4 Expecting the Unexpected
4.1 Raising exceptions
4.2 Handling exceptions
4.3 Defining our own exceptions
4.4 Recall
4.5 Exercises
4.6 Summary
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Chapter 5 When to Use Object-Oriented Programming
5.1 Treat objects as objects
5.2 Adding behaviors to class data with properties
5.3 Scripts to functions to classes
5.4 Recall
5.5 Exercises
5.6 Summary
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Chapter 6 Abstract Base Classes and Operator Overloading
6.1 Creating an abstract base class
6.2 Operator overloading
6.3 Extending built-ins
6.4 Metaclasses
6.5 Recall
6.6 Exercises
6.7 Summary
Chapter 7 Python Type Hints
7.1 Type hints and object-oriented programming
7.2 Static checking and linting
7.3 Runtime value checking and the Pydantic package
7.4 Recall
7.5 Exercises
7.6 Summary
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Chapter 8 Python Data Structures
8.1 Tuples and named tuples
8.2 Dataclasses
8.3 Dictionaries and typed dictionaries
8.4 Lists
8.5 Sets
8.6 Three types of queues
8.7 Recall
8.8 Exercises
8.9 Summary
Chapter 9 The Intersection of Object-Oriented and Functional Programming
9.1 Python built-in functions
9.2 An alternative to method overloading
9.3 Functions are objects too
9.4 Recall
9.5 Exercises
9.6 Summary
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Chapter 10 The Iterator Pattern
10.1 Design patterns in brief
10.2 Iterators
10.3 Comprehensions
10.4 Generator functions
10.5 Recall
10.6 Exercises
10.7 Summary
Chapter 11 Common Design Patterns
11.1 The Decorator pattern
11.2 The Observer pattern
11.3 The Strategy pattern
11.4 The Command pattern
11.5 The State pattern
11.6 The Singleton pattern
11.7 Recall
11.8 Exercises
11.9 Summary
Chapter 12 Advanced Design Patterns
12.1 The Adapter pattern
12.2 The Façade pattern
12.3 The Flyweight pattern
12.4 The Abstract Factory pattern
12.5 The Composite pattern
12.6 The Template pattern
12.7 Recall
12.8 Exercises
12.9 Summary
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Chapter 13 Testing Object-Oriented Programs
13.1 Why test?
13.2 Unit testing with unittest
13.3 Unit testing with pytest
13.4 Imitating objects using mocks
13.5 How much testing is enough?
13.6 Testing and development
13.7 Recall
13.8 Exercises
13.9 Summary
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Chapter 14 Concurrency
14.1 Background on concurrent processing
14.2 Threads
14.3 Multiprocessing
14.4 Futures
14.5 AsyncIO
14.6 The dining philosophers benchmark
14.7 Recall
14.8 Exercises
14.9 Summary
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Python Object-Oriented Programming