| 1 |
Python Fundamentals |
- Syntax, Variables, Data Types
- Operators
- Control Flow
- Functions
- Data Structures
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- Build a solid Python foundation.
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| 2 |
Introduction to OOP |
- What is an Object?
- What is a Class?
- The Four Pillars of OOP
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- Understand the core concepts and benefits of OOP.
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| 3 |
Classes and Objects |
- The 'class' Keyword
- The '__init__' Method
- Instance Attributes & Methods
- The 'self' Keyword
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- Learn to create and use classes and objects.
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| 4 |
Encapsulation |
- Public, Protected, Private
- Properties
- Benefits of Encapsulation
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- Protect and manage access to object data.
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| 5 |
Inheritance |
- Subclassing
- The 'super()' Function
- Method Overriding
- Multiple Inheritance
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- Reuse and extend code through inheritance.
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| 6 |
Polymorphism |
- Duck Typing
- Polymorphism with Inheritance
- Polymorphism with Functions
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- Write flexible and adaptable code in Python.
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| 7 |
Abstraction |
- Abstract Base Classes (ABCs)
- @abstractmethod Decorator
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- Hide complexity and define contracts.
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| 8 |
Advanced OOP Concepts |
- Static Methods
- Class Methods
- Composition
- Data Classes
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- Explore design aspects and advanced features.
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| 9 |
Magic Methods |
- What are Dunder Methods?
- Object Representation
- Operator Overloading
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- Customize the behavior of objects naturally.
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| 10 |
SOLID Principles |
- SRP - Single Responsibility Principle
- OCP - Open/Closed Principle
- LSP - Liskov Substitution Principle
- ISP - Interface Segregation Principle
- DIP - Dependency Inversion Principle
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- Learn the principles of good object-oriented design.
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| 11 |
Design Patterns |
- Introduction to Design Patterns
- Creational Patterns
- Structural Patterns
- Behavioral Patterns
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- Apply proven solutions to common design problems.
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