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Questions and Answers
What is the purpose of exception handling in programming?
What is the purpose of exception handling in programming?
In Python, which class does ZeroDivisionError inherit from?
In Python, which class does ZeroDivisionError inherit from?
When using try-except blocks in Python, where do we enclose the code that might raise an exception?
When using try-except blocks in Python, where do we enclose the code that might raise an exception?
What happens if an exception occurs and there is no corresponding except block to handle it?
What happens if an exception occurs and there is no corresponding except block to handle it?
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Which of the following is NOT one of the primary exception handling techniques in Python?
Which of the following is NOT one of the primary exception handling techniques in Python?
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Why is it beneficial to catch and handle exceptions in a program?
Why is it beneficial to catch and handle exceptions in a program?
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What is the purpose of raising exceptions manually in Python?
What is the purpose of raising exceptions manually in Python?
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What is a best practice for exception handling regarding exception names?
What is a best practice for exception handling regarding exception names?
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Why should exceptions be handled at the point of their occurrence?
Why should exceptions be handled at the point of their occurrence?
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What happens if exceptions are not caught or handled in Python?
What happens if exceptions are not caught or handled in Python?
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How can chaining exceptions help in debugging?
How can chaining exceptions help in debugging?
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Why is it recommended to avoid catching generic exceptions?
Why is it recommended to avoid catching generic exceptions?
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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:
-
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 correspondingexcept
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.")
-
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
-
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
-
Be specific in your exception handling: Instead of catching generic exceptions like
Exception
orBaseException
, catch only the specific exceptions you're anticipating. This helps maintain clear and concise exception handling code. -
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.
-
Use descriptive exception names: Instead of using vague exception names like
Error
orException
, create custom exceptions with descriptive names that explain their purpose and improve readability. -
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.
-
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.
Python's Official Tutorial on Errors and Exceptions.
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Description
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.