This tutorial introduces the reader informally to the basic concepts and features of the Python language

It helps to have a Python interpreter handy for hands-on experience, but all examples are

self-contained, so the tutorial can be read off-line as well.

For a description of standard objects and modules, see library-index. reference-index gives a more formal

definition of the language. To write extensions in C or C++, read extending-index and c-api-index. There

are also several books covering Python in depth.

This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly

used feature. Instead, it introduces many of Python's most noteworthy features, and will give you a good

idea of the language's flavor and style. After reading it, you will be able to read and write Python modules

and programs, and you will be ready to learn more about the various Python library modules described in

library-index.

The Python interpreter is easily extended with new functions and data types implemented in C or C++

(or other languages callable from C). Python is also suitable as an extension language for customizable

applications.

Python is just the language for you.

You could write a Unix shell script or Windows batch files for some of these tasks, but shell scripts are best

at moving around files and chag text data, not well-suited for GUI applications or games. You could

write a C/C++/Java program, but it can take a lot of development to get even a first-draft program.

Python is simpler to use, available on Windows, Mac OS X, and Unix operating systems, and will help you

get the job done more quickly.

Python is simple to use, but it is a real programming language, offering much more structure and support

for large programs than shell scripts or batch files can offer. On the other hand, Python also offers much

more error checking than C, and, being a very-high-level language, it has high-level data types built in, such

as flexible arrays and dictionaries. Because of its more general data types Python is applicable to a much

larger problem domain than Awk or even Perl, yet many things are at least as easy in Python as in those

languages.






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