Python Object-Oriented Programming: A Hands-On Guide to Class Design, Inheritance, Polymorphism, and Python-Specific OOP Features

Python Object-Oriented Programming: A Hands-On Guide to Class Design, Inheritance, Polymorphism, and Python-Specific OOP Features
Unlock the Full Power of Python's Object Model Go beyond the basics and master professional-grade OOP techniques with this hands-on guide to Python's most powerful features. Whether you're building enterprise systems, frameworks, or performance-critical applications, this book transforms you from a Python coder into an architect of robust, maintainable systems.
What You'll LearnCore OOP Mastery✔ Design classes with encapsulation, inheritance, and composition ✔ Harness magic methods to make your objects Pythonic ✔ Leverage abstract base classes (ABCs) for strict interfacesAdvanced Patterns✔ Implement design patterns the Python way (Factory, Strategy, Observer) ✔ Build ORMs with descriptors and metaclasses ✔ Optimize performance with __slots__ and memory-efficient designsReal-World Applications✔ Craft extensible plugin architectures ✔ Design domain-specific APIs with operator overloading ✔ Write self-documenting, production-ready code
Key Features
- Deep Dives into Python's data model
- Battle-Tested Examples: Bank systems, game entities, ORMs
- Performance Benchmarks: When to use (and avoid) advanced features
- Anti-Pattern Alerts: Common OOP mistakes in Python
- Transition from scripting to large-scale OOP design
- Build frameworks and libraries
- Master enterprise-grade patterns
- Optimize performance-critical code
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Unlock the Full Power of Python's Object Model Go beyond the basics and master professional-grade OOP techniques with this hands-on guide to Python's most powerful features. Whether you're building enterprise systems, frameworks, or performance-critical applications, this book transforms you from a Python coder into an architect of robust, maintainable systems.
What You'll LearnCore OOP Mastery✔ Design classes with encapsulation, inheritance, and composition ✔ Harness magic methods to make your objects Pythonic ✔ Leverage abstract base classes (ABCs) for strict interfacesAdvanced Patterns✔ Implement design patterns the Python way (Factory, Strategy, Observer) ✔ Build ORMs with descriptors and metaclasses ✔ Optimize performance with __slots__ and memory-efficient designsReal-World Applications✔ Craft extensible plugin architectures ✔ Design domain-specific APIs with operator overloading ✔ Write self-documenting, production-ready code
Key Features
- Deep Dives into Python's data model
- Battle-Tested Examples: Bank systems, game entities, ORMs
- Performance Benchmarks: When to use (and avoid) advanced features
- Anti-Pattern Alerts: Common OOP mistakes in Python
- Transition from scripting to large-scale OOP design
- Build frameworks and libraries
- Master enterprise-grade patterns
- Optimize performance-critical code
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