Python: Syllabus

Congratulations! You’ve just picked up a quick book that promises to save you from writing a soul-crushing mess of procedural spaghetti code. OOP is the backbone of modern software development—which means if you ignore it, your future self (and your teammates) will probably send a hitman after you.

This book is 90% hands-on (because theory alone won’t stop you from creating a monster). We’ll dive into OOP principles, advanced design patterns, and real-world Python applications—basically, all the stuff you need to write code that won’t self-destruct when requirements change.

By the end of this thrilling journey, you’ll have mastered Python OOP, built multiple hands-on projects, and maybe—just maybe—created software that won’t make future developers curse your name. Good luck, you’ll need it.

Module 1: Introduction to Object-Oriented Programming (OOP)#

• Why OOP? Understanding the need for object-oriented design
• Principles of OOP (Encapsulation, Inheritance, Polymorphism, Abstraction)
• Setting up the Python environment for OOP development

Module 2: Classes and Objects in Python#

• Defining classes and creating objects
• The self parameter and instance attributes
• Understanding __init__ (constructor) and __del__ (destructor)
• Class vs. instance attributes

Module 3: Encapsulation and Data Hiding#

• Public, protected, and private attributes
• Getters, setters, and property decorators
• Implementing encapsulation in real-world applications

Module 4: Inheritance and Code Reusability#

• Types of inheritance (single, multiple, multilevel, hierarchical, hybrid)
• The super() method for accessing parent class methods
• Method overriding and extending functionality

Module 5: Polymorphism and Method Overloading#

• Function overloading and method overriding in Python
• Duck typing and dynamic method resolution
• Operator overloading with __add__, __str__, __eq__, etc.

Module 6: Abstract Classes and Interfaces#

• Understanding abstraction and why it matters
• Implementing abstract classes with ABC module
• Enforcing method implementation in child classes

Module 7: Working with Class and Static Methods#

• Difference between instance, class, and static methods
• Using @classmethod and @staticmethod
• Practical use cases in software design

Module 8: Composition and Aggregation#

• Difference between inheritance and composition
• Implementing has-a relationships in Python
• Designing modular applications with composition

Module 9: Software Design Principles in OOP#

• SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion)
• DRY, KISS, and YAGNI principles in Python
• Applying these principles in large-scale software

Module 10: Design Patterns in Python#

• Introduction to software design patterns
• Creational patterns: Singleton, Factory, Builder
• Structural patterns: Adapter, Decorator, Proxy
• Behavioral patterns: Observer, Strategy, Command

Module 11: Exception Handling and Debugging in OOP#

• Handling exceptions in an object-oriented way
• Custom exception classes and raising errors
• Debugging OOP-based applications in Python

Module 12: Unit Testing and Test-Driven Development (TDD)#

• Writing unit tests for classes and methods
• Using unittest and pytest for OOP-based applications
• Implementing TDD in object-oriented software design

Module 13: File Handling and Persistence#

• Reading and writing files with OOP principles
• Working with JSON and CSV files in object-oriented applications
• Implementing database persistence with SQLite and SQLAlchemy ORM

Module 14: Building Scalable OOP Applications#

• Structuring large-scale object-oriented applications
• Implementing modular architecture in Python
• Managing dependencies and organizing packages

Module 15: Capstone Project and Real-World Applications#

• Applying OOP and design patterns to build a complete software application
• Code review and best practices for maintainable object-oriented code
• Documenting and deploying the final project

Hands-On Projects

Project 1: Employee Management System#

• Implement encapsulation and inheritance for employee roles
• Use class methods for salary calculations
• Store and retrieve data using JSON and CSV

Project 2: E-Commerce Order Processing System#

• Implement product catalogs and order management with OOP
• Use design patterns like Factory and Observer
• Store customer transactions in an SQLite database

Project 3: AI Chatbot with Object-Oriented Architecture#

• Build a chatbot using object-oriented principles
• Implement polymorphism for multiple response strategies
• Optimize chatbot behavior using design patterns

Project 4: Bank Account Management System#

• Use OOP principles to model bank accounts and transactions
• Implement security measures with encapsulation
• Store transaction history using file handling

Project 5: Social Media Feed Aggregator#

• Implement API-based data fetching using OOP
• Use decorators and adapters to format and process feeds
• Apply TDD and write unit tests for the application

References#

• Python Official Documentation
• Design Patterns in Python
• Software Design Principles