Question

Python Built-in Exceptions are pre-defined errors that occur during the execution of a Python program. Some of the most commonly searched keywords related to Python Built-in Exceptions include "exception handling in Python", "Python try-except", "built-in exception types in Python", and "Python exception hierarchy". Understanding how to handle and work with exceptions in Python is a crucial skill for any programmer. By familiarizing yourself with the built-in exception types in Python, you can write more robust code and handle errors effectively. This article will cover the basics of Python Built-in Exceptions, including what they are, how they work, and some common examples of their usage.

Answer 1

Python Built-in Exceptions

Here is a list of Python Built-in Exceptions with a brief explanation of each:

• BaseException: The base class for all built-in exceptions.
• Exception: The most general class of exceptions.
• ArithmeticError: The base class for those built-in exceptions that are raised for various arithmetic errors.
• BufferError: Raised when a buffer related operation cannot be performed.
• LookupError: The base class for exceptions raised when a key or index is not found in a mapping or sequence.
• AssertionError: Raised when an assert statement fails.
• AttributeError: Raised when an attribute reference or assignment fails.
• EOFError: Raised when the input() function hits an end-of-file condition (EOF) without reading any data.
• FloatingPointError: Raised when a floating point operation fails.
• GeneratorExit: Raised when a generator or coroutine is closed.
• ImportError: Raised when an import statement fails to find the module definition or when a from ... import fails to find a name that is to be imported.
• IndexError: Raised when an index is out of range.
• KeyError: Raised when a mapping (dictionary) key is not found in the set of existing keys.
• KeyboardInterrupt: Raised when the user hits the interrupt key (normally Ctrl-C or Delete).
• MemoryError: Raised when an operation runs out of memory.
• NameError: Raised when a local or global name is not found.
• NotImplementedError: Raised by abstract methods that have not been implemented in a subclass.
• OSError: Raised when a system-related operation fails.
• OverflowError: Raised when an arithmetic operation exceeds the maximum representable value.
• ReferenceError: Raised when a weak reference proxy is used to access a garbage-collected referent.
• RuntimeError: Raised when an error occurs that does not belong to any other category.
• StopAsyncIteration: Raised by an asynchronous iterator's anext() method to signal the end of the iteration.
• StopIteration: Raised by an iterator's next() method to signal the end of the iteration.
• SyntaxError: Raised when there is an error in Python syntax.
• IndentationError: Raised when the indentation is not correct.
• TabError: Raised when the indentation contains a mixture of tabs and spaces.
• SystemError: Raised when the interpreter detects an internal error.
• SystemExit: Raised by the sys.exit() function to terminate the program.
• TypeError: Raised when an operation or function is applied to an object of inappropriate type.
• UnboundLocalError: Raised when a reference is made to a local variable in a function or method, but no value has been bound to that variable.
• UnicodeError: Raised when a Unicode-related error occurs.
• UnicodeEncodeError: Raised when a Unicode-related error occurs during encoding.
• UnicodeDecodeError: Raised when a Unicode-related error occurs during decoding.
• UnicodeTranslateError: Raised when a Unicode-related error occurs during translation.
• ValueError: Raised when a built-in operation or function receives an argument that has the right type but an inappropriate value.
• ZeroDivisionError: Raised when the second operand of a division or modulo operation is zero.