RBSE Class 12 Computer Science Chapter 1: Exception Handling
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Questions and Answers

What is the purpose of exception handling in programming?

  • To intentionally cause errors in the program
  • To minimize the program's memory usage
  • To manage and recover from unexpected conditions (correct)
  • To enhance the speed of program execution
  • In Python, which class does ZeroDivisionError inherit from?

  • ValueError
  • AssertionError
  • TypeError
  • ArithmeticError (correct)
  • When using try-except blocks in Python, where do we enclose the code that might raise an exception?

  • Within the except block
  • Inside the 'try' block (correct)
  • In a 'finally' block
  • In a 'raise' block
  • What happens if an exception occurs and there is no corresponding except block to handle it?

    <p>The program immediately terminates</p> Signup and view all the answers

    Which of the following is NOT one of the primary exception handling techniques in Python?

    <p><code>try-else</code> blocks</p> Signup and view all the answers

    Why is it beneficial to catch and handle exceptions in a program?

    <p>To avoid program termination due to unexpected conditions</p> Signup and view all the answers

    What is the purpose of raising exceptions manually in Python?

    <p>To explicitly throw an exception</p> Signup and view all the answers

    What is a best practice for exception handling regarding exception names?

    <p>Creating custom exceptions with descriptive names</p> Signup and view all the answers

    Why should exceptions be handled at the point of their occurrence?

    <p>To simplify debugging and error tracking</p> Signup and view all the answers

    What happens if exceptions are not caught or handled in Python?

    <p>The program terminates abruptly</p> Signup and view all the answers

    How can chaining exceptions help in debugging?

    <p>By linking one exception to another for clear error tracing</p> Signup and view all the answers

    Why is it recommended to avoid catching generic exceptions?

    <p>To maintain clear and concise exception handling</p> Signup and view all the answers

    Study Notes

    Exception Handling in RBSE Class 12 Computer Science Chapter 1

    Exception handling is a crucial aspect of programming that helps us manage and recover from unexpected, or exceptional, conditions in our code. In RBSE Class 12 Computer Science Chapter 1, we'll delve into this topic and explore its significance in ensuring robust and stable computer programs.

    Background

    Consider a scenario where you're writing a program that calculates the square root of a number, but the input might sometimes contain negative values. In this case, attempting to calculate the square root of a negative number would result in a ZeroDivisionError. By catching this exception and handling it, we can smoothly recover from the error and avoid program termination.

    Exception Hierarchy

    In Python, exceptions are organized in an inheritance hierarchy. This means that exceptions inheriting from a particular base class share similar characteristics and behavior. For example, ZeroDivisionError inherits from the ArithmeticError class, which in turn inherits from the Exception class.

    Exception Handling Techniques

    There are three primary techniques in Python for handling exceptions:

    1. Try-except Blocks: This is a fundamental approach where we enclose the code block that might potentially raise an exception within a try block. Then, we specify the possible exceptions that could occur and define a corresponding except block to handle them.

      try:
          # Code that might raise an exception
          # For example, calculating square root of a negative number
          square_root = math.sqrt(-5)
      except ZeroDivisionError:
          # Handle the exception
          print("Can't calculate square root of a negative number.")
      
    2. Raising Exceptions: In some cases, we might want to raise an exception ourselves instead of letting the Python interpreter do it. By using the raise keyword, we can explicitly throw an exception.

      def divide_by_zero(dividend):
          if dividend == 0:
              raise ZeroDivisionError("Division by zero is not allowed!")
          return 1 / dividend
      
    3. Exception Chaining: This technique allows us to link one exception to another, thereby providing a clear trace of the error and helping in debugging.

      try:
          # Code that might raise an exception
          # For example, getting an email address from an incorrectly formatted string
          email_address = extract_email(incorrect_string)
      except ValueError as exc_1:
          try:
              # Raise a specific email extraction error
              raise EmailExtractionError("Failed to extract email address.") from exc_1
          except Exception as exc_2:
              # If the extraction fails for some other reason (e.g., memory error)
              raise Exception("Exception occurred.") from exc_2
      

    Best Practices

    1. Be specific in your exception handling: Instead of catching generic exceptions like Exception or BaseException, catch only the specific exceptions you're anticipating. This helps maintain clear and concise exception handling code.

    2. Handle exceptions at the point of their occurrence: Avoid catching exceptions in a higher level of the code if you're not going to handle them appropriately at that level.

    3. Use descriptive exception names: Instead of using vague exception names like Error or Exception, create custom exceptions with descriptive names that explain their purpose and improve readability.

    4. Don't let exceptions escape: Make sure to either handle an exception or let it be caught by a higher level of exception handling. Unhandled exceptions will lead to program termination.

    5. Consider logging: Include logging in your exception handling code to track the error's occurrence and simplify debugging.

    Conclusion

    Exception handling is a fundamental concept in computer science that allows us to gracefully recover from unexpected, or exceptional, conditions in our code. By understanding and implementing techniques like try-except blocks, raising exceptions, and chaining exceptions, you can create robust and stable computer programs. Remember to follow best practices like being specific in your exception handling, handling exceptions at their point of occurrence, using descriptive exception names, and considering logging.

    Reference(s):

    Python's Official Tutorial on Errors and Exceptions.

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    Explore the significance of exception handling in programming as covered in RBSE Class 12 Computer Science Chapter 1. Learn about exception hierarchy, handling techniques like try-except blocks and raising exceptions, best practices, and more.

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