Issue with Exception Handling in Python

Question

Aryan Kumar · Answer

There are a few common issues that can occur with exception handling in Python.
Not catching all exceptions. It is important to catch all of the exceptions that your code can throw. If you don't catch an exception, it will be raised to the next level and may cause your program to crash.Not handling exceptions gracefully. When you catch an exception, you should handle it gracefully. This means that you should print a message to the user or log the exception so that you can debug it later.Using the wrong exception type. Each exception type represents a specific type of error. If you use the wrong exception type, your code may not be able to handle the error correctly.
Here are some tips for avoiding these common issues with exception handling in Python:
Use a try/except block for each block of code that you think might throw an exception.Use a catch-all except block for any exceptions that you don't specifically handle.Handle exceptions gracefully by printing a message to the user or logging the exception.Use the correct exception type for each error that your code can throw.
Here is an example of how to use exception handling in Python to handle a division by zero error:
Python
def divide_numbers(x, y):
  try:
    result = x / y
  except ZeroDivisionError:
    print("Error: Can't divide by zero")
  else:
    return result
result = divide_numbers(10, 0)
In this example, the divide_numbers() function takes two numbers as input and divides them. If the denominator is zero, the
ZeroDivisionError exception is raised. The try/except block catches the exception and prints a message to the user. The
else block is executed if the exception is not raised. In this case, the
else block returns the result of the division operation.

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Issue with Exception Handling in Python

Revati S Misra

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