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

By:

Lott, Steven F [Author]

Contributor(s):

Phillips, Dusty [Author]

Material type: Text

TextPublication 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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Holdings
Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	NU BALIWAG	NU BALIWAG	Information Technology	General Circulation	GC QA 76.73.P98 .L68 2021 c.1 (Browse shelf(Opens below))	C.1	Available		NUBUL0000005217

Includes index.

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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