Raised when a generated error does not fall into any category.
Raised when the built-in function for a data type has the valid type of arguments, but the arguments have invalid values specified. Raised when an operation or function is attempted that is invalid for the specified data type. If not handled in the code, causes the interpreter to exit. Raised when Python interpreter is quit by using the sys.exit() function. Raised when the interpreter finds an internal problem, but when this error is encountered the Python interpreter does not exit. Raised when indentation is not specified properly. Raised when there is an error in Python syntax.
Raised for operating system-related errors. Raised when an input/ output operation fails, such as the print statement or the open() function when trying to open a file that does not exist. Raised when trying to access a local variable in a function or method but no value has been assigned to it.īase class for all exceptions that occur outside the Python environment. Raised when an identifier is not found in the local or global namespace. Raised when the specified key is not found in the dictionary. Raised when an index is not found in a sequence. Raised when the user interrupts program execution, usually by pressing Ctrl+c. Raised when there is no input from either the raw_input() or input() function and the end of file is reached. Raised in case of failure of attribute reference or assignment. Raised in case of failure of the Assert statement. Raised when division or modulo by zero takes place for all numeric types. Raised when a floating point calculation fails. Raised when a calculation exceeds maximum limit for a numeric type. Raised when the next() method of an iterator does not point to any object.īase class for all built-in exceptions except StopIteration and SystemExit.īase class for all errors that occur for numeric calculation.
Here is a list standard Exceptions available in Python: Standard Exceptions.Īssertions − This would be covered in Assertions in Python tutorial. Python provides two very important features to handle any unexpected error in your Python programs and to add debugging capabilities in them −Įxception Handling − This would be covered in this tutorial.
0 kommentar(er)
