Python Exception Handling

Python Exception Handling

Welcome to codeswithpankaj.com! In this tutorial, we will explore the concept of exception handling in Python. We'll cover what exceptions are, how to handle them, and provide detailed examples to illustrate its application.

Table of Contents

1. Introduction to Exceptions

2. Why Use Exception Handling?

3. Types of Exceptions

4. The try and except Blocks

5. Handling Multiple Exceptions

6. The else and finally Blocks

7. Raising Exceptions

8. Custom Exceptions

9. Practical Examples

10. Summary

1. Introduction to Exceptions

What are Exceptions?

Exceptions are events that occur during the execution of a program that disrupt the normal flow of instructions. They are typically errors that need to be addressed to prevent the program from crashing.

Key Points

• Exceptions indicate errors and exceptional conditions in the program.

• Python provides a robust mechanism to handle exceptions gracefully.

2. Why Use Exception Handling?

• Prevent Crashes: Exception handling prevents the program from terminating unexpectedly.

• Debugging: It helps in debugging by providing detailed error messages.

• Graceful Degradation: It allows the program to continue execution or fail gracefully.

3. Types of Exceptions

Python has many built-in exceptions, such as:

• SyntaxError

• TypeError

• IndexError

• KeyError

• ValueError

• ZeroDivisionError

4. The try and except Blocks

Basic Exception Handling

The try block allows you to test a block of code for errors. The except block lets you handle the error.

try:
    x = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero")

5. Handling Multiple Exceptions

You can handle multiple exceptions by specifying multiple except blocks.

try:
    x = int("abc")
except ValueError:
    print("ValueError occurred")
except TypeError:
    print("TypeError occurred")

Using a Single except Block for Multiple Exceptions

try:
    x = int("abc")
except (ValueError, TypeError) as e:
    print(f"An error occurred: {e}")

6. The else and finally Blocks

The else Block

The else block is executed if no exceptions are raised in the try block.

try:
    x = int("10")
except ValueError:
    print("ValueError occurred")
else:
    print("No error occurred")

The finally Block

The finally block is executed regardless of whether an exception occurs or not.

try:
    x = int("10")
except ValueError:
    print("ValueError occurred")
finally:
    print("This will always be executed")

7. Raising Exceptions

You can raise an exception using the raise statement.

def check_age(age):
    if age < 18:
        raise ValueError("Age must be at least 18")
    return "Age is valid"

try:
    print(check_age(16))
except ValueError as e:
    print(e)

8. Custom Exceptions

You can create custom exceptions by defining a new class that inherits from the built-in Exception class.

class CustomError(Exception):
    pass

def check_value(value):
    if value < 0:
        raise CustomError("Value must be non-negative")

try:
    check_value(-1)
except CustomError as e:
    print(e)

9. Practical Examples

Example 1: Handling File Operations

try:
    with open("nonexistent_file.txt", "r") as file:
        content = file.read()
except FileNotFoundError:
    print("File not found")
else:
    print(content)
finally:
    print("File operation complete")

Example 2: Division Function with Exception Handling

def divide(a, b):
    try:
        result = a / b
    except ZeroDivisionError:
        return "Cannot divide by zero"
    except TypeError:
        return "Invalid input type"
    else:
        return result
    finally:
        print("Division operation complete")

print(divide(10, 2))
print(divide(10, 0))
print(divide(10, "a"))

Example 3: Custom Exception in User Input Validation

class InvalidInputError(Exception):
    def __init__(self, message):
        self.message = message
        super().__init__(self.message)

def get_positive_number():
    try:
        number = int(input("Enter a positive number: "))
        if number <= 0:
            raise InvalidInputError("The number must be positive")
        return number
    except ValueError:
        return "Invalid input type"
    except InvalidInputError as e:
        return e.message

print(get_positive_number())

10. Summary

In this tutorial, we explored the concept of exception handling in Python, its importance, and how to implement it using try, except, else, and finally blocks. We also covered raising exceptions, creating custom exceptions, and practical examples to illustrate the application of exception handling. Exception handling is a powerful feature that enhances code robustness, readability, and maintainability.

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