Course Outline:

1. Introduction to Python
   • What is Python?
   • Why Python is Awesome
   • Setting Up Python Environment

2. Python Basics
   • Hello, World! Your First Python Program
   • Variables and Data Types (Numbers, Strings, Lists)
   • Basic Arithmetic Operations

3. Control Flow
   • If-else Statements: Making Decisions
   • Loops: Repeat Yourself (While Loops, For Loops)
   • Break and Continue Statements

4. Functions
   • Defining Functions
   • Parameters and Arguments
   • Return Values

5. Data Structures
   • Lists: Your Superpower Arrays
   • Dictionaries: Key-Value Pairs
   • Tuples: Immutable Lists

6. Working with Files
   • Reading from Files
   • Writing to Files
   • Handling Errors (Try and Except)

7. Object-Oriented Programming (OOP)
   • Introduction to Objects and Classes
   • Creating Classes and Objects
   • Attributes and Methods
   • Instance variables and methods
   • Class variables and static methods
   • Constructor and destructor methods
   • Encapsulation
     • Access specifiers: public, private, and protected
     • Getter and setter methods
   • Inheritance:
     • Extending classes and reusing code
     • Single inheritance vs. multiple inheritance
     • Method resolution order (MRO)
     • Super() function for calling superclass methods
   • Polymorphism:
     • Method overriding and method overloading
     • Duck typing and interfaces
     • Operator overloading
   • Abstraction:
     • Abstract classes and abstract methods
     • Providing a blueprint for subclasses
     • Implementing abstract classes
   • Composition vs. Inheritance:
     • Understanding composition and inheritance
     • Composition: “has-a” relationship
     • Inheritance: “is-a” relationship
     • Choosing between composition and inheritance
   • Advanced OOP Concepts:
     • Design patterns (e.g., Singleton, Factory, Observer)
     • Mixins and multiple inheritance
     • Class decorators and metaprogramming
   • Practical OOP Applications:
     • Building real-world projects using OOP principles
     • Designing modular and scalable software systems
     • Refactoring procedural code to object-oriented code
   • Best Practices and Design Principles:
     • SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion)
     • Writing clean, maintainable, and reusable code
     • Documentation and code organization
   • Testing OOP Code:
     • Unit testing classes and methods
     • Test-driven development (TDD) approach
     • Mocking and dependency injection for testing

8. Intermediate Python
   • List Comprehensions: Magic Loops
   • Lambda Functions: The Secret Functions
   • Modules and Packages: Sharing Your Code

9. Advanced Topics
   • Decorators: Magic Wrappers
   • Generators: Magic Yielders
   • Exception Handling: Saving the Day

10. Real-World Applications
    • Web Development with Flask
    • Data Analysis with Pandas
    • Automation with Python
    • Selenium with Python

11. Project: Building a Simple Game
    • Designing the Game
    • Implementing Game Logic
    • Some more games in Python
      • blackjack
      • number guessing game
      • higher lower game
      • quiz brain teasers
      • traffic rider
      • turtle race
      • classic snake game
      • ping pong game
      • 50 states game
      • Explore more

Let’s Get Started! Are you excited? Ready to dive into the world of Python programming? Let’s embark on this adventure together and unlock the magic of coding with Python!