Understanding Python Built-in Exceptions
In Python, exceptions are events that can alter the flow of control in a program. These errors can arise during program execution and need to be handled appropriately. Python provides a set of built-in exceptions, each meant to signal a particular type of error.
What are Built-in Exceptions?
Built-in exceptions in Python are predefined exceptions that can be raised during the execution of a program. You can catch these exceptions using try
and except
blocks, allowing your program to continue running even if an error occurs.
Common Built-in Exceptions
Here’s a table listing some major Python built-in exceptions along with a brief description:
Exception Name | Description |
---|---|
BaseException | The base class for all built-in exceptions. |
Exception | The base class for all non-exit exceptions. |
ArithmeticError | Base class for all errors related to arithmetic operations. |
ZeroDivisionError | Raised when a division or modulo operation is performed with zero as the divisor. |
IndexError | Raised when a sequence subscript is out of range. |
KeyError | Raised when a dictionary key is not found. |
NameError | Raised when a local or global name is not found. |
TypeError | Raised when an operation or function is applied to an object of inappropriate type. |
Examples of Built-in Exceptions
1. BaseException
try: raise BaseException("This is a BaseException") except BaseException as e: print(e)
2. ZeroDivisionError
try: result = 10 / 0 except ZeroDivisionError as e: print(e)
3. IndexError
my_list = [1, 2, 3] try: element = my_list[5] except IndexError as e: print(e)
Conclusion
Understanding built-in exceptions in Python is crucial for writing robust and error-resistant code. By effectively using try
and except
blocks, you can manage errors gracefully and maintain the flow of your program. Mastering these concepts will greatly enhance your programming skills in Python.
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