Learn object-oriented programming through 12 complete programs. Transform from procedural code to professional class-based applications with inheritance, polymorphism, and encapsulation.
A new guide teaching Python object-oriented programming is now available.
34 pages covering classes, objects, inheritance, polymorphism, and encapsulation. You'll build 12 complete programs progressing from simple student records to sophisticated inventory management systems.
Each concept includes working code you should type yourself. Muscle memory matters when learning programming patterns.
Functions and loops work fine for small programs. But as code grows, procedural approaches become messy and hard to maintain.
Object-oriented programming organizes code around real-world entities. A student has properties (name, marks) and behaviors (calculate grade). A bank account has balance and methods (deposit, withdraw). Classes model these entities naturally.
Every professional codebase uses OOP. Every framework you'll learn (Django, Flask, React classes) builds on these concepts. Master OOP and programming frameworks make sense.
CBSE Class 11-12 students taking Computer Science (Code 083). The curriculum covers OOP in both classes, deepening in Class 12.
Self-learners transitioning from beginner Python to intermediate applications. Anyone preparing for technical interviews testing OOP fundamentals.
Teachers needing complete examples with implementations and explanations.
First three programs: Book class storing title and author. Bank account with deposit and withdraw validation. Rectangle calculating area and perimeter.
Programs 4-6: Employee-manager hierarchy demonstrating inheritance. Shape parent class with rectangle and circle children showing polymorphism. Student subclass adding scholarship tracking.
Programs 7-8: Payment system processing credit cards, debit cards, and UPI differently. Transport system comparing buses, trains, and flights.
Programs 9-10: Email class validating addresses through encapsulation. Temperature class converting between Celsius and Fahrenheit while hiding internal storage.
Final projects: Complete school management system coordinating students, teachers, and courses. Full inventory system handling products, sales, and stock with transaction tracking.
Each chapter explains one concept clearly. Code examples demonstrate the concept. Practice problems let you apply it immediately. Answer key provides complete solutions with explanations.
Progressive difficulty means no sudden jumps. Simple classes first. Inheritance next. Then polymorphism building on inheritance. Finally encapsulation protecting your class data.
No toy examples. Every program solves actual problems you'll encounter in real applications.
You need Python basics before starting. Variables, functions, loops, conditionals. If you understand those, you're ready for OOP.
The guide uses Python 3.x syntax. All code runs in standard Python without external libraries. Type examples in IDLE, VS Code, or any Python environment.
34 pages. 737 KB. Free.
Two more Computer Science guides are available:
SQL Database Management - Query and manipulate data across tables. Learn the universal database language every application uses.
Data Structures in Python - Organize data efficiently using lists, stacks, queues, and dictionaries. Solve algorithmic problems combining structures.
Together these three cover the complete CBSE Computer Science programming curriculum for the senior-secondary level.
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Master classes, objects, and inheritance through 12 complete programs, transforming procedural code into professional object-oriented applications.
Learn to organize data efficiently through 20 practice problems. Master lists, stacks, queues, and dictionaries—the foundation of algorithmic problem-solving and technical interviews.
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