Error handling is a programming technique used to manage and respond to unexpected or erroneous situations that may occur during the execution of a program. These situations, often referred to as “exceptions” or “errors,” can range from simple issues like invalid user inputs to more complex problems such as network failures or unexpected system behavior. The primary goals of error handling are to maintain the stability of a program, prevent crashes, and provide useful information for debugging and resolution.
Here’s a list of error-handling techniques and how to handle exceptions gracefully in Python:
1. Try-Except Blocks:
- Description: Use try-except blocks to catch and handle exceptions. The code inside the try block is monitored, and if an exception occurs, the code inside the corresponding except block is executed.
try:
# code that may raise an exception
except SomeException as e:
# handle the specific exception
except AnotherException as e:
# handle another specific exception
except Exception as e:
# handle any other exceptions
- Example:
try:
result = 10 / 0 # Division by zero to trigger an exception
except ZeroDivisionError as e:
print(f"Error: {e}")