Python Exception Handling (original) (raw)

Exception Handling allows a program to handle unexpected errors during execution in a controlled way, instead of crashing abruptly. It enables programs to detect errors, manage them properly and continue execution wherever possible.

• Handles runtime errors such as invalid input, file not found, division by zero and type mismatches that occur during program execution.
• Helps improve program reliability by ensuring the application does not terminate unexpectedly when an error occurs.

Below is a basic example demonstrating how to catch an exception and handle it gracefully:

Python `

n = 10 try: res = n / 0 except ZeroDivisionError: print("Can't be divided by zero!")

`

Output

Can't be divided by zero!

**Explanation: Dividing a number by 0 raises a ZeroDivisionError. The try block contains code that may fail and except block catches the error, printing a safe message instead of stopping the program.

Syntax

Python provides four main keywords for handling exceptions: try, except, else and finally each plays a unique role. Let's see syntax:

try:
# Code
except SomeException:
# Code
else:
# Code
finally:
# Code

• **try: Runs the risky code that might cause an error.
• **except: Catches and handles the error if one occurs.
• **else: Executes only if no exception occurs in try.
• **finally: Runs regardless of what happens useful for cleanup tasks like closing files.

**Example: This code attempts division and handles errors gracefully using try-except-else-finally.

Python `

try: n = 0 res = 100 / n

except ZeroDivisionError: print("You can't divide by zero!")

except ValueError: print("Enter a valid number!")

else: print("Result is", res)

finally: print("Execution complete.")

`

Output

You can't divide by zero! Execution complete.

**Explanation: try block attempts division, except blocks catch specific errors, else block executes only if no errors occur, while finally block always runs, signaling end of execution.

Refer to Python Built-in Exceptions for some common exceptions.

Catching Exceptions

We can handle errors more efficiently by specifying the types of exceptions we expect. This can make code both safer and easier to debug.

1. Specific Exceptions

Catching specific exceptions makes code to respond to different exception types differently. It precisely makes your code safer and easier to debug. It avoids masking bugs by only reacting to the exact problems you expect.

**Example: This code handles ValueError and ZeroDivisionError with different messages.

Python `

try: # This will cause ValueError x = int("str") inv = 1 / x # Inverse calculation

except ValueError: print("Not Valid!")

except ZeroDivisionError: print("Zero has no inverse!")

`

**Explanation: A ValueError occurs because "str" cannot be converted to an integer. If conversion had succeeded but x were 0, a ZeroDivisionError would have been caught instead.

2. Multiple Exceptions

We can catch multiple exceptions in a single block if we need to handle them in the same way or we can separate them if different types of exceptions require different handling.

**Example: This code attempts to convert list elements and handles ValueError, TypeError and IndexError.

Python `

a = ["10", "twenty", 30] try: # 'twenty' cannot be converted to int total = int(a[0]) + int(a[1])

except (ValueError, TypeError) as e: print("Error", e)

except IndexError: print("Index out of range.")

`

Output

Error invalid literal for int() with base 10: 'twenty'

**Explanation: The ValueError is raised when trying to convert "twenty" to an integer. A TypeError could occur if incompatible types were used, while IndexError would trigger if the list index was out of range.

3. Catch-All Handlers and Their Risks

Catch-all handler is used to call to catch any exception (similar to else statement). Use only except keyword to define it:

**Example: This code tries dividing a string by a number, which causes a TypeError.

Python `

try: # Risky operation: dividing string by number res = "100" / 20

except ArithmeticError: print("Arithmetic problem.")

except: print("Something went wrong!")

`

Output

Something went wrong!

**Explanation: A TypeError occurs because you can’t divide a string by a number. The bare except catches it, but this can make debugging harder since the actual error type is hidden. Use bare except only as a net.

Raise an Exception

We raise an exception using the raise keyword followed by an instance of the exception class that we want to trigger. We can choose from built-in exceptions or define our own custom exceptions by inheriting from Python's built-in Exception class.

**Syntax:

raise ExceptionType("Error message")

**Example: This code raises a ValueError if an invalid age is given.

Python `

def set(age): if age < 0: raise ValueError("Age cannot be negative.") print(f"Age set to {age}")

try: set(-5) except ValueError as e: print(e)

`

Output

Age cannot be negative.

**Explanation: The function checks if age is invalid. If it is, it raises a ValueError. This prevents invalid states from entering the program.

We can create custom exceptions to address application-specific errors, for detailed information refer to Creating Custom Exceptions.

Errors vs Exceptions

Errors and exceptions are both issues in a program, but they differ in severity and handling.

• **Error: Issues in the program logic such as SyntaxError, etc. It occurs at compile time.
• **Exception: Problems that occur at runtime and can be managed using exception handling (e.g., invalid input, missing files).

To know more about Errors and Exception, refer to this article Errors and Exceptions.