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
8 1 Try and Except Blocks Explained

8 1 Try and Except Blocks Explained

Key Concepts

The try and except blocks in Python are used to handle exceptions. The key concepts include:

1. The try Block

The try block is used to enclose the code that might raise an exception. If an exception occurs within the try block, the code execution jumps to the corresponding except block.

Example:

try:
    result = 10 / 0
except ZeroDivisionError:
    print("You can't divide by zero!")
    

Analogy: Think of the try block as a safety net for your code, catching any errors that might occur.

2. The except Block

The except block is used to handle the exception that occurs in the try block. It specifies what should be done if a particular exception is raised.

Example:

try:
    result = 10 / 0
except ZeroDivisionError:
    print("You can't divide by zero!")
    

Analogy: Think of the except block as a plan B, providing an alternative action when something goes wrong.

3. Handling Specific Exceptions

You can handle specific exceptions by specifying the exception type in the except block. This allows you to provide different responses based on the type of error.

Example:

try:
    num = int("abc")
except ValueError:
    print("Invalid number format!")
    

Analogy: Think of handling specific exceptions as having different tools for different types of repairs.

4. Using finally Block

The finally block is used to specify code that will be executed no matter what, whether an exception occurs or not. This is useful for cleanup operations.

Example:

try:
    file = open('example.txt', 'r')
    content = file.read()
except FileNotFoundError:
    print("File not found!")
finally:
    file.close()
    

Analogy: Think of the finally block as a closing ceremony, ensuring that everything is wrapped up properly.

5. Raising Exceptions

You can raise exceptions manually using the raise statement. This is useful when you want to signal that a certain condition has not been met.

Example:

def divide(a, b):
    if b == 0:
        raise ZeroDivisionError("You can't divide by zero!")
    return a / b

try:
    result = divide(10, 0)
except ZeroDivisionError as e:
    print(e)
    

Analogy: Think of raising exceptions as sounding an alarm when something goes wrong, alerting everyone to the issue.

Putting It All Together

By understanding and using try and except blocks effectively, you can handle errors gracefully and ensure your programs run smoothly even when unexpected issues arise.

Example:

try:
    file = open('example.txt', 'r')
    content = file.read()
except FileNotFoundError:
    print("File not found!")
except IOError:
    print("An I/O error occurred!")
finally:
    file.close()