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 1 Single Inheritance Explained

9 4 1 Single Inheritance Explained

Key Concepts

Single inheritance in Python involves several key concepts:

1. Superclass and Subclass

In single inheritance, a subclass inherits from a single superclass. The superclass is the class being inherited from, and the subclass is the class that inherits.

Example:

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

    def speak(self):
        return "Animal sound"

class Dog(Animal):
    pass

my_dog = Dog("Buddy")
print(my_dog.name)  # Output: Buddy
print(my_dog.speak())  # Output: Animal sound
    

Analogy: Think of the superclass as a parent and the subclass as a child who inherits traits from the parent.

2. Inheriting Attributes and Methods

The subclass inherits all attributes and methods from the superclass. This allows the subclass to reuse and extend the functionality of the superclass.

Example:

class Vehicle:
    def __init__(self, make, model):
        self.make = make
        self.model = model

    def start(self):
        return "Engine started!"

class Car(Vehicle):
    pass

my_car = Car("Toyota", "Camry")
print(my_car.make)  # Output: Toyota
print(my_car.start())  # Output: Engine started!
    

Analogy: Think of the subclass as a tool that comes with a set of pre-built features from the superclass.

3. Overriding Methods

The subclass can override methods inherited from the superclass. This allows the subclass to provide its own implementation of the method.

Example:

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

    def speak(self):
        return "Animal sound"

class Dog(Animal):
    def speak(self):
        return "Woof!"

my_dog = Dog("Buddy")
print(my_dog.name)  # Output: Buddy
print(my_dog.speak())  # Output: Woof!
    

Analogy: Think of overriding as customizing a recipe while keeping the basic ingredients the same.

4. Accessing Superclass Methods

The subclass can access methods from the superclass using the super() function. This is useful when you want to extend the functionality of the superclass method.

Example:

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

    def speak(self):
        return "Animal sound"

class Dog(Animal):
    def speak(self):
        return super().speak() + " Woof!"

my_dog = Dog("Buddy")
print(my_dog.name)  # Output: Buddy
print(my_dog.speak())  # Output: Animal sound Woof!
    

Analogy: Think of super() as a way to call the parent's version of a method before adding your own twist.

Putting It All Together

By understanding and using these concepts effectively, you can create more organized and reusable code using single inheritance in Python.

Example:

class Vehicle:
    def __init__(self, make, model):
        self.make = make
        self.model = model

    def start(self):
        return "Engine started!"

class Car(Vehicle):
    def start(self):
        return super().start() + " Car engine started!"

my_car = Car("Toyota", "Camry")
print(my_car.make)  # Output: Toyota
print(my_car.start())  # Output: Engine started! Car engine started!