Python Training , study and exam guide
1 Introduction to Python
1.1 What is Python?
1.2 History of Python
1.3 Features of Python
1.4 Python Applications
1.5 Setting up the Python Environment
1.6 Running Your First Python Program
2 Python Basics
2.1 Python Syntax and Indentation
2.2 Variables and Data Types
2.2 1 Numbers
2.2 2 Strings
2.2 3 Lists
2.2 4 Tuples
2.2 5 Sets
2.2 6 Dictionaries
2.3 Operators
2.3 1 Arithmetic Operators
2.3 2 Comparison Operators
2.3 3 Logical Operators
2.3 4 Assignment Operators
2.3 5 Membership Operators
2.3 6 Identity Operators
2.4 Input and Output
2.4 1 Input Function
2.4 2 Output Function
2.5 Comments
2.5 1 Single-line Comments
2.5 2 Multi-line Comments
3 Control Flow
3.1 Conditional Statements
3.1 1 If Statement
3.1 2 If-Else Statement
3.1 3 Elif Statement
3.1 4 Nested If Statements
3.2 Loops
3.2 1 For Loop
3.2 2 While Loop
3.2 3 Nested Loops
3.3 Loop Control Statements
3.3 1 Break Statement
3.3 2 Continue Statement
3.3 3 Pass Statement
4 Functions
4.1 Defining Functions
4.2 Function Arguments
4.2 1 Positional Arguments
4.2 2 Keyword Arguments
4.2 3 Default Arguments
4.2 4 Variable-length Arguments
4.3 Return Statement
4.4 Lambda Functions
4.5 Scope of Variables
4.5 1 Local Variables
4.5 2 Global Variables
4.6 Recursion
5 Data Structures
5.1 Lists
5.1 1 List Operations
5.1 2 List Methods
5.1 3 List Comprehensions
5.2 Tuples
5.2 1 Tuple Operations
5.2 2 Tuple Methods
5.3 Sets
5.3 1 Set Operations
5.3 2 Set Methods
5.4 Dictionaries
5.4 1 Dictionary Operations
5.4 2 Dictionary Methods
5.5 Advanced Data Structures
5.5 1 Stacks
5.5 2 Queues
5.5 3 Linked Lists
6 Modules and Packages
6.1 Importing Modules
6.2 Creating Modules
6.3 Standard Library Modules
6.3 1 Math Module
6.3 2 Random Module
6.3 3 DateTime Module
6.4 Creating Packages
6.5 Installing External Packages
7 File Handling
7.1 Opening and Closing Files
7.2 Reading from Files
7.2 1 read()
7.2 2 readline()
7.2 3 readlines()
7.3 Writing to Files
7.3 1 write()
7.3 2 writelines()
7.4 File Modes
7.5 Working with CSV Files
7.6 Working with JSON Files
8 Exception Handling
8.1 Try and Except Blocks
8.2 Handling Multiple Exceptions
8.3 Finally Block
8.4 Raising Exceptions
8.5 Custom Exceptions
9 Object-Oriented Programming (OOP)
9.1 Classes and Objects
9.2 Attributes and Methods
9.3 Constructors and Destructors
9.4 Inheritance
9.4 1 Single Inheritance
9.4 2 Multiple Inheritance
9.4 3 Multilevel Inheritance
9.5 Polymorphism
9.6 Encapsulation
9.7 Abstraction
10 Working with Libraries
10.1 NumPy
10.1 1 Introduction to NumPy
10.1 2 Creating NumPy Arrays
10.1 3 Array Operations
10.2 Pandas
10.2 1 Introduction to Pandas
10.2 2 DataFrames and Series
10.2 3 Data Manipulation
10.3 Matplotlib
10.3 1 Introduction to Matplotlib
10.3 2 Plotting Graphs
10.3 3 Customizing Plots
10.4 Scikit-learn
10.4 1 Introduction to Scikit-learn
10.4 2 Machine Learning Basics
10.4 3 Model Training and Evaluation
11 Web Development with Python
11.1 Introduction to Web Development
11.2 Flask Framework
11.2 1 Setting Up Flask
11.2 2 Routing
11.2 3 Templates
11.2 4 Forms and Validation
11.3 Django Framework
11.3 1 Setting Up Django
11.3 2 Models and Databases
11.3 3 Views and Templates
11.3 4 Forms and Authentication
12 Final Exam Preparation
12.1 Review of Key Concepts
12.2 Practice Questions
12.3 Mock Exams
12.4 Exam Tips and Strategies
9 4 3 Multilevel Inheritance Explained

9 4 3 Multilevel Inheritance Explained

Key Concepts

Multilevel inheritance in Python involves several key concepts:

1. Base Class

The base class is the initial class from which other classes inherit. It serves as the foundation for the inheritance hierarchy.

Example:

class Animal:
    def __init__(self, name):
        self.name = name

    def speak(self):
        return "Some sound"
    

Analogy: Think of the base class as the original blueprint for a house, which defines the basic structure and features.

2. Intermediate Class

The intermediate class inherits from the base class and can also be inherited by other classes. It adds additional features or modifies existing ones.

Example:

class Mammal(Animal):
    def __init__(self, name, type):
        super().__init__(name)
        self.type = type

    def speak(self):
        return "Mammal sound"
    

Analogy: Think of the intermediate class as a modified blueprint for a house, which adds extra rooms or features while still retaining the basic structure.

3. Derived Class

The derived class inherits from the intermediate class, forming a multilevel inheritance hierarchy. It can access attributes and methods from both the intermediate and base classes.

Example:

class Dog(Mammal):
    def __init__(self, name, type, breed):
        super().__init__(name, type)
        self.breed = breed

    def speak(self):
        return "Woof!"
    

Analogy: Think of the derived class as a specific type of house built from the modified blueprint, which adds even more unique features.

4. Method Resolution Order (MRO)

MRO determines the order in which methods are inherited in a multilevel inheritance hierarchy. It ensures that methods are called from the most specific class first.

Example:

print(Dog.mro())
# Output: [Dog, Mammal, Animal, object]
    

Analogy: Think of MRO as the order in which different versions of a recipe are followed, starting with the most specific version and moving to more general ones if needed.

5. Overriding Methods

Overriding methods allows a derived class to provide a specific implementation of a method that is already defined in its parent classes.

Example:

class Cat(Mammal):
    def __init__(self, name, type, color):
        super().__init__(name, type)
        self.color = color

    def speak(self):
        return "Meow!"
    

Analogy: Think of overriding methods as customizing a standard feature in a house, such as changing the color of the walls in a room.

Putting It All Together

By understanding and using multilevel inheritance effectively, you can create complex and hierarchical class structures in Python.

Example:

class Animal:
    def __init__(self, name):
        self.name = name

    def speak(self):
        return "Some sound"

class Mammal(Animal):
    def __init__(self, name, type):
        super().__init__(name)
        self.type = type

    def speak(self):
        return "Mammal sound"

class Dog(Mammal):
    def __init__(self, name, type, breed):
        super().__init__(name, type)
        self.breed = breed

    def speak(self):
        return "Woof!"

class Cat(Mammal):
    def __init__(self, name, type, color):
        super().__init__(name, type)
        self.color = color

    def speak(self):
        return "Meow!"

dog = Dog("Buddy", "Dog", "Golden Retriever")
cat = Cat("Whiskers", "Cat", "Calico")

print(dog.name, dog.speak())  # Output: Buddy Woof!
print(cat.name, cat.speak())  # Output: Whiskers Meow!