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Python object-oriented programming : build robust and maintainable object-oriented Python applications and libraries / Steven F. Lott and Dusty Phillips.

By: Contributor(s): Material type: TextTextPublication details: Birhinghman : Packt Publishing, c2021.Edition: Fourth EditionDescription: xvi, 693 pages : illustrations ; 24 cmISBN:
  • 9781801077262
Subject(s): LOC classification:
  • QA 76.73.P98 .L68 2021 c.1
Contents:
Chapter 1. Object-oriented design.--Chapter 2. Objects in Python.--Chapter 3. When objects are alike.--Chapter 4. Expecting the unexpected.--Chapter 5. When to use object-oriented programming.--Chapter 7. Python data structures.--Chapter 8. The intersection of object-oriented and functional programming.--Chapter 9. Strings, serialization, and file paths.--Chapter 10. The iterator pattern.--Chapter 11. Common design patterns.--Chapter 12. Advanced design patterns.--Chapter 13. Testing object-oriented programs.--Chapter 14. Concurrency
Summary: Python objected-oriented programming, fourth edition, dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. There concepts are consolidated by open-ended exercises, as well as a real- world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning.
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Includes index.

Chapter 1. Object-oriented design.--Chapter 2. Objects in Python.--Chapter 3. When objects are alike.--Chapter 4. Expecting the unexpected.--Chapter 5. When to use object-oriented programming.--Chapter 7. Python data structures.--Chapter 8. The intersection of object-oriented and functional programming.--Chapter 9. Strings, serialization, and file paths.--Chapter 10. The iterator pattern.--Chapter 11. Common design patterns.--Chapter 12. Advanced design patterns.--Chapter 13. Testing object-oriented programs.--Chapter 14. Concurrency

Python objected-oriented programming, fourth edition, dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. There concepts are consolidated by open-ended exercises, as well as a real- world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning.

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