--description--

In Python, exception handling is a core part of writing robust and fault-tolerant programs. It allows you to anticipate, catch, and respond to errors in a structured way.

Exception handling is the process of catching and managing errors that occur during the execution of a program, so your code doesn't crash unexpectedly.

Python provides the try, except, else, and finally blocks to gracefully handle errors. Here's a basic example:

try:
    x = 10 / 0
except ZeroDivisionError:
    print("You can't divide by zero!")

• try: The block of code where you anticipate an error might occur.

• except: This block runs if an error of the specified type is raised inside the try.

• In this case, dividing by zero raises a ZeroDivisionError, which is then caught and handled.

And here's an example also showing how to use the else and finally blocks:

try:
    x = 10 / 2
except ZeroDivisionError:
    print("You can't divide by zero!")
else:
    print('Division successful:', x)
finally:
    print('This block always runs.')

• else: Runs if no exception is raised in the try block.

• finally: Runs no matter what—whether or not an exception occurred. Useful for clean-up tasks like closing files or releasing resources.

You can also catch multiple exceptions with separate except blocks:

try:
    number = int('abc')
    result = 10 / number
except ValueError:
    print('That was not a valid number.')
except ZeroDivisionError:
    print("Can't divide by zero.")

By using separate except clauses, you can make your error responses more specific and useful.

You can also use the exception object, which is typically aliased to another name with the as keyword. Here we're using e as an alias for the error object:

try:
    x = 1 / 0
except ZeroDivisionError as e:
    print(f'Error occurred: {e}')

Using e lets you access the actual error message or object for logging or debugging.

You can also catch multiple exceptions in a single except clause by specifying the exceptions as a tuple:

try:
    number = int(input('Enter a number: '))
    result = 10 / number
except (ValueError, ZeroDivisionError) as e:
    print(f'Error occurred: {e}')

Exception handling allows your programs to recover from errors gracefully. By using try, except, else, and finally, you can anticipate potential issues and build more resilient applications.

--questions--

--text--

What does the try block do in Python?

--answers--

It ignores errors completely.

--feedback--

Refer back to the section about try and except blocks.

It defines a block of code to test for errors.

It deletes all exceptions.

--feedback--

Refer back to the section about try and except blocks.

It stops the program immediately.

--feedback--

Refer back to the section about try and except blocks.

--video-solution--

2

--text--

When does the finally block execute?

--answers--

Only when there is no error

--feedback--

Refer back to the section about the finally block.

Only when an exception occurs

--feedback--

Refer back to the section about the finally block.

Always, no matter what

Only if the else block executes

--feedback--

Refer back to the section about the finally block.

--video-solution--

3

--text--

Which statement is used to catch a specific error?

--answers--

handle

--feedback--

Refer back to beginning of the lesson about Python error handling.

catch

--feedback--

Refer back to beginning of the lesson about Python error handling.

try

--feedback--

Refer back to beginning of the lesson about Python error handling.

except

--video-solution--

4