Kickstart your journey into Python's OOP world with this hands-on introduction. You'll learn to think in objects, structure code for clarity, and apply foundational patterns, building the confidence to tackle real projects from day one. What You'll LearnDesign and instantiate classes, attributes, and methodsApply encapsulation with properties and private membersModel "is-a" and "has-a" relationships using inheritance and compositionLeverage polymorphism via duck typing, abstract base classes, and interfacesUse mix-ins, decorators, and context managers to extend behaviorWork with data containers: namedtuple, dataclass, and attrsOverload operators for intuitive, domain-specific APIsWrite reusable utilities: logging, timing, and plugin architecturesHands-On ProjectsBuild a BankAccount system with deposits, withdrawals, and statementsCreate a Shape hierarchy that computes area and perimeter genericallyAssemble a Library app managing Book and Member componentsDevelop a Plugin framework using abstract handlers and a registry metaclassImplement LoggingMixin and TimingMixin without touching original codeKey FeaturesStep-by-step examples with clear, annotated code snippetsPractical exercises at the end of each chapter to reinforce conceptsVisual UML diagrams and flowcharts for class relationshipsAnti-Pattern Alerts highlighting common pitfallsTips on when to favor composition over inheritanceGuidance on writing unit tests for OOP designsWho This Book Is ForPython developers transitioning from scripts to structured applicationsBeginners seeking a solid grasp of OOP fundamentalsStudents and self-learners wanting guided, practical examplesAnyone aiming to write maintainable, scalable Python codePrerequisitesNo prior OOP experience required, every concept is introduced from scratchTake the first step toward mastering object-oriented design in Python. Build real-world software with confidence and clarity
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