(An Unofficial) Python Tutorial Wiki

putting the community back in "maintained by the community"

簡介

注: 原始出處

什麼是 Python?

Python is a powerful, yet easy to learn programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for both scripting and rapid application development in many areas and on most platforms.

Python also integrates well with your existing applications and libraries; you can extend Python with code written in C or C++ (or any language that is callable from C), and also use it as an extension language for your application. There are separate implementations available for Java and Microsoft's .NET platform.

The Python interpreter and the extensive standard library are available in source and binary form for all major platforms from the Python Web site, http://www.python.org, and may be freely redistributed. The site also contains a repository of over a thousand third party Python modules (Cheese Shop), as well as additional resources for learning Python and getting support.

About this Tutorial

This tutorial is an informal introduction to Python. It does not attempt to cover every single feature of the language, or even every commonly used feature, but it does try to introduce 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 the Python Library Reference. 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.

Additional Resources

For a description of standard objects and modules, see the Python Library Reference document. The Python Reference Manual gives a more formal definition of the language. To write extensions in C or C++, read Extending and Embedding the Python Interpreter and Python/C API Reference. There are also several books covering Python in depth (see the PythonBooks page in the Python Wiki).


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