About Python

Python is an interpreted, interactive, object-oriented programming language. It is often compared to Tcl, Perl, Scheme or Java.

Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems (X11, Motif, Tk, Mac, MFC). New built-in modules are easily written in C or C++. Python is also usable as an extension language for applications that need a programmable interface.

The Python implementation is portable: it runs on many brands of UNIX, on Windows, OS/2, Mac, Amiga, and many other platforms. If your favorite system isn't listed here, it may still be supported, if there's a C compiler for it. Ask around on news:comp.lang.python -- or just try compiling Python yourself.

Python has a full set of string operations (including regular expression matching), and frees the user from most hassles of memory management. These and other features make it an ideal language for prototype development and other ad-hoc programming tasks.

Python also has some features that make it possible to write large programs, even though it lacks most forms of compile-time checking: a program can be constructed out of a number of modules, each of which defines its own name space, and modules can define classes which provide further encapsulation. Exception handling makes it possible to catch errors where required without cluttering all code with error checking.

A large number of extension modules have been developed for Python. Some are part of the standard library of tools, usable in any Python program (e.g. the math library and regular expressions). Others are specific to a particular platform or environment (for example, UNIX, IP networking, or X11) or provide application-specific functionality (such as image or sound processing).

Python also provides facilities for introspection, so that a debugger or profiler (or other development tools) for Python programs can be written in Python itself. There is also a generic way to convert an object into a stream of bytes and back, which can be used to implement object persistency as well as various distributed object models.

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