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  1. Python
  2. OOP: A Comprehensive Guide
Exception Handling : Iterators
OOP: A Comprehensive Guide

The try Block in Python

The try block is a fundamental construct in Python for exception handling. It allows you to define a block of code that might raise an exception and provides a mechanism to handle that exception gracefully.

Syntax:

Python

try:

  # Code that might raise an exception

except ExceptionType:

  # Code to handle the exception

Key Points:

  • The code within the try block is executed normally.

  • If an exception occurs within the try block, the execution jumps to the corresponding except block.

  • The except block can specify the type of exception to handle. If no exception is raised, the except block is skipped.

Example:

Python

try:

  num1 = int(input("Enter the first number: "))

  num2 = int(input("Enter the second number: "))

  result = num1 / num2

  print("Result:", result)

except ZeroDivisionError:

  print("Cannot divide by zero.")

except ValueError:

  print("Invalid input. Please enter numbers.")

Multiple except Blocks:

You can have multiple except blocks to handle different types of exceptions:

Python

try:

  # Code that might raise an exception

except ZeroDivisionError:

  print("Cannot divide by zero.")

except ValueError:

  print("Invalid input. Please enter numbers.")

except Exception as e:

  print("An unexpected error occurred:", e)

finally Block:

The finally block is optional and is always executed, regardless of whether an exception is raised. It's often used for cleanup tasks like closing files or releasing resources.

Python

try:

  # Code that might raise an exception

except ExceptionType:

  # Code to handle the exception

finally:

  # Code that

 is always executed

Best Practices:

  • Use specific exception types to catch only the exceptions you expect.

  • Provide informative error messages.

  • Consider using try-except-finally blocks for cleanup tasks.

  • Avoid excessive use of except blocks, as it can make your code harder to debug.

By understanding the try block and its components, you can write more robust and resilient Python programs.

Exception Handling Iterators
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