Strong Pythons (And The Exceptions That Love Them) - Python

In this concluding article of the Python 101 series, find out howto use Python's exception-handling routines to trap and resolve programerrors, learn to generate and use custom error messages, and get acquainteda bunch of useful (and free!) Python resources online.

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By: Vikram Vaswani, (c) Melonfire

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August 23, 2001

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A number of standard exceptions are built into Python - here's a list ofthe most common ones.

IOError - generated when an I/O operation fails;

ImportError - generated when a module import fails

IndexError - generated when an attempt is made to access a non-existentelement index;

KeyError - generated when an attempt is made to access a non-existentdictionary key;

MemoryError - generated when an out-of-memory error occurs;

NameError - generated when an attempt is made to access a non-existentvariable;

SyntaxError - generated when the interpreter finds a syntax error;

TypeError - generated when an attempt is made to run an operation on anincompatible object type;

ZeroDivisionError - generated when an attempt is made to divide by zero.

For a complete list, take a look athttp://www.python.org/doc/current/lib/module-exceptions.html

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