Exception Handling in Python Class 12 Notes and Solutions
Learn Exception Handling in Python with NCERT class 12 Computer Science. Explore syntax errors, built-in exceptions, error handling, and more on English Chatterbox's AI-powered platform.
Notes - Exception Handling in Python | Class 12 NCERT | Computer Science
Exception Handling in Python: Class 12 Notes
Introduction
Exception handling is a crucial aspect of Python programming, enabling developers to manage and resolve errors that occur during the execution of a program. It ensures that the code runs smoothly, even when unexpected conditions arise, thereby preventing abrupt terminations and maintaining user experience.
Syntax Errors
Syntax errors, also known as parsing errors, occur when the rules of the programming language are not followed. These errors are detected by the Python interpreter during the parsing phase and must be rectified before the program can be executed. For instance:
if marks > 20:
print "GOOD SCORE"
Fixed Syntax
if marks > 20:
print("GOOD SCORE")
Here, the first snippet will cause a syntax error due to the missing parentheses in the print function.
Exceptions
Unlike syntax errors, exceptions occur during the actual execution of the program. They are runtime errors that can disrupt the normal flow of the program. Common examples include opening a non-existent file or division by zero. These errors need to be handled to prevent abnormal program termination.
Built-in Exceptions
Python's standard library comes with a collection of built-in exceptions that cover common errors. Some of these include:
Exception
Description
SyntaxError
Raised when there is a syntax error in the code.
ValueError
Raised when a function receives an argument of the correct type but inappropriate value.
IOError
Raised when an I/O operation fails.
ZeroDivisionError
Raised when attempting to divide by zero.
IndexError
Raised when an index is out of range.
TypeError
Raised when an operation is applied to an object of inappropriate type.
Raising Exceptions
Python allows programmers to raise exceptions intentionally using the raise statement. This is useful for testing error-handling routines or when a specific condition must be met for the program to proceed.
raise Exception("This is a raised exception")
Handling Exceptions
Try and Except Blocks
The primary way to handle exceptions in Python is using try and except blocks. The code that might throw an exception is placed inside the try block, and the corresponding handling code is in the except block.
try:
numerator = 10
denominator = 0
result = numerator / denominator
except ZeroDivisionError:
print("Division by zero is not allowed")
The Finally Clause
The finally block contains code that will execute regardless of whether an exception was raised or not. This is commonly used for cleanup actions, such as closing files or releasing resources.
try:
file = open("test.txt", "r")
except FileNotFoundError:
print("File not found")
finally:
file.close()
print("File has been closed")
The Assert Statement
The assert statement is used to test, if a condition in the code returns True, otherwise it raises an AssertionError. It's a convenient way to insert debugging assertions into a program.
def check_age(age):
assert age >= 0, "Age cannot be negative"
return age
print(check_age(25))
The Process of Handling Exceptions
When an error occurs, Python creates an exception object. This object is then handled by the runtime system, which looks for a matching except block to catch and handle the error.
flowchart TD
A[Start Program] --> B[Try Block]
B -->|Exception Occurs| C[Except Block]
B -->|No Exception| D[Else Block]
B -->|Finally Block| E
C -->|Handled| E
D --> E[Continue Execution]
E -->|Finally Executes| F[End Program]
User-defined Exceptions
Python also allows the creation of custom exceptions tailored to specific needs using class definitions.
class CustomError(Exception):
pass
try:
raise CustomError("This is a custom error")
except CustomError as e:
print(e)
Best Practices for Exception Handling
Catch Specific Exceptions: Avoid using a bare except clause; instead, catch specific exceptions to prevent catching unexpected errors.
Use Finally for Cleanup: Ensure resources are released whether an error occurs or not by using the finally block.
Document Your Code: Clearly document why and how exceptions are being handled for better code maintainability.
Conclusion
Understanding and implementing exception handling is essential for writing robust and error-free Python programs. By learning these techniques, you can ensure your programs are well-prepared to handle unexpected situations gracefully.
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NCERT Solutions - Exception Handling in Python | NCERT | Computer Science | Class 12
"Every syntax error is an exception but every exception cannot be a syntax error." Justify the statement.
The statement "Every syntax error is an exception but every exception cannot be a syntax together" is justified as follows:
Syntax errors are exceptions: In Python, syntax errors occur when the code does not conform to the syntax rules of the language. For instance, forgetting a parenthesis or mismatching indentation can trigger a SyntaxError. These are subclassed under exceptions, and the Python interpreter flags these errors before the code is executed. Therefore, every syntax error is indeed an exception, specifically a subclass of an exception that deals with syntactical faults in code.
Not all exceptions are syntax errors: Exceptions in Python handle a broader range of issues beyond just syntax-related errors. Exceptions can occur during the execution of a program at runtime, handling issues such as operations that the code is unable to perform (like division by zero), or environmental issues (like reading a non-existent file). These are known as runtime exceptions and include ZeroDivisionError, FileNotFoundError, etc., which are not related to syntax but to the logic, state of resources, or conditions during the execution of the program.
Thus, while syntax errors strictly relate to incorrect Python syntax preventing the code from running, exceptions can be raised due to various errors that might occur during runtime as well as compile time (syntax error being one such compile-time exception). This distinction supports the given statement effectively.
Simplify Main points
Follow-up Questions:
Explain how exceptions differ from syntax errors?Give examples of exceptions that aren't syntax errors.Can you identify a syntax error in Python?