Types of exception handling in Python

Types of exception handling in Python

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Exception Handling is an essential part of programming in any language, including Python. Exception handling allows you to catch and handle runtime errors that occur during the execution of your program. In this response, we will explore different types of exception handling in Python:

try:
code that might raise an exception
except ExceptionType:
code to handle the exception

You can specify multiple exceptions by separating them with commas.

Example:

try:
x = 5 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")

Example:

try:
x = 5 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
except TypeError:
print("Invalid data type!")

Example:

try:
x = 5 / 1
except ZeroDivisionError:
print("Cannot divide by zero!")
else:
print(x)

Example:

try:
x = 5 / 1
except ZeroDivisionError:
print("Cannot divide by zero!")
finally:
print("Finally block executed!")

Example:

def my_function():
if 1 == 2:
raise ValueError("This is a custom exception!")
try:
my_function()
except ValueError as e:
print(f"Error: {e}")

Example:

class CustomException(Exception):
pass
def my_function():
raise CustomException("This is a custom exception!")
try:
my_function()
except CustomException as e:
print(f"Error: {e}")

Example:

import sys
def main():
try:
x = 5 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")
except TypeError:
print("Invalid data type!")
finally:
if len(sys.argv) > 1:
print(f"Argument: {sys.argv[1]}")

In this article, we have covered the different types of exception handling in Python. Understanding how to handle exceptions is crucial for building robust and reliable programs.

exception handling in python with example

Exception Handling in Python:

In Python programming, exceptions are a way to handle abnormal situations or errors that occur during the execution of code. Exception handling is an essential part of any program as it helps to ensure that your program continues to run smoothly even when unexpected things happen.

Python provides several ways to handle exceptions:

Example:

Here's an example of exception handling in Python:

try:
x = 5 / 0
except ZeroDivisionError:
print("You can't divide by zero!")

In this example, we're trying to divide x by zero. When this happens, the program will raise a ZeroDivisionError. The except block catches this exception and prints an error message.

Now, let's consider another example with multiple exceptions:

try:
file = open("non_existent_file.txt", "r")
data = file.read()
except FileNotFoundError:
print("The file does not exist.")
except IOError as e:
print(f"IO Error: {e}")
finally:
if 'file' in locals():
file.close()

In this example, we're trying to open a non-existent file and read its content. The program will raise FileNotFoundError when it can't find the file. We also catch IOError which might occur during the file operations. Finally, we close the file if it's successfully opened.

Benefits of Exception Handling:

Common Python Exceptions:

Conclusion:

Exception handling is a crucial part of Python programming. It enables your code to handle unexpected situations and ensure a smooth execution. By using try, except, and finally blocks, you can write robust and reliable code that handles errors effectively.