7.7 Summary

In this chapter, we've learned about exceptions ”both how to catch them with try statements and how to trigger them with raise statements. Exceptions are identified by string objects or class objects; built-in exceptions are predefined class objects in Python 1.5, but user -defined exceptions may be strings or classes. Either way, exceptions let us jump around programs arbitrarily, and provide a coherent way of dealing with errors and other unusual events. Along the way, we studied common exception idioms, touched on error handling in general, and saw a variety of ways to catch and match raised exceptions.

This chapter concludes our look at the core Python programming language. If you've gotten this far, you can consider yourself an official Python programmer; you've already seen just about everything there is to see in regards to the language itself. In this part of the book, we studied built-in types, statements, and exceptions, as well as tools used to build-up larger program units ”functions, modules, and classes. In general, Python provides a hierarchy of tool sets:

Built-ins: Built-in types like strings, lists, and dictionaries make it easy to write simple programs fast.
Python extensions: For more demanding tasks , we can extend Python in Python, by writing our own functions, modules, and classes.
C extensions: Although we don't cover them in this book, Python can also be extended with modules written in C or C++.

Because Python layers its tool sets, we can decide how complicated we need to get for a given task. We've covered the first two of the categories above in this book already, and that's plenty to do substantial programming in Python.

The next part of this book takes you on a tour of standard modules and common tasks in Python. Table 7.2 summarizes some of the sources of built-in or existing functionality available to Python programmers, and topics we'll explore in the remainder of this book. Up until now, most of our examples have been very small and self-contained. We wrote them that way on purpose, to help you master the basics. But now that you know all about the core language, it's time to start learning how to use Python's built-in interfaces to do real work. We'll find that with a simple language like Python, common tasks are often much easier than you might expect.

Table 7.2. Python's Built-in Toolbox

Category	Examples
Object types	lists, dictionaries, files, strings
Functions	len, range, apply, open
Modules	string, os, Tkinter, pickle
Exceptions	IndexError, KeyError
Attributes	__dict__, __name__
Peripheral tools	NumPy, SWIG, JPython, PythonWin