In Python, handling errors and exceptions is an essential part of the programming process. When running a program, unexpected errors and exceptions may occur. Handling errors and exceptions allows the program to handle and report these unexpected situations flexibly and in a readable manner.
Handling Common Errors (
In Python, we use the
try-except block to handle common errors. The
try-except structure allows the program to execute a block of code in the
try section, and if an error occurs in this block, the program will move to the
except section to handle that error.
try: # Attempt to perform an invalid division result = 10 / 0 except ZeroDivisionError: print("Error: Cannot divide by zero.")
Handling General Exceptions
In addition to handling specific types of errors, we can also use
except without specifying a specific error type. This helps handle general exceptions that we do not know in advance.
try: # Attempt to perform an invalid division result = 10 / 0 except: print("An error occurred.")
Handling Multiple Exception Types
We can also handle multiple different types of errors in the same
try-except block by using multiple
try: # Attempt to open a non-existent file file = open("myfile.txt", "r") content = file.read() except FileNotFoundError: print("Error: File not found.") except PermissionError: print("Error: No permission to access the file.")
elseclause allows executing a block of code when there is no error in the
finallyclause allows executing a block of code after both the
exceptsections are completed.
try: num = int(input("Enter an integer: ")) except ValueError: print("Error: Not an integer.") else: print("The number you entered is:", num) finally: print("Program ends.")
Handling errors and exceptions in Python makes the program more robust and increases its stability. When handling errors properly, we can provide appropriate messages or perform actions accordingly when unexpected situations occur.