12. What Now? 现在做什么呢？

Reading this tutorial has probably reinforced your interest in using Python — you should be eager to apply Python to solving your real-world problems. Where should you go to learn more?

阅读本指南可能已经增加了你使用Python的兴趣 — 你应该已经迫不及待的希望使用Python来解决实际中的问题了。 你应该从哪里学习更多的知识呢？

This tutorial is part of Python’s documentation set. Some other documents in the set are:

本指南是Python文档集的一部分。 还有其他一些文档：

• The Python Standard Library:

  You should browse through this manual, which gives complete (though terse) reference material about types, functions, and the modules in the standard library. The standard Python distribution includes a lot of additional code. There are modules to read Unix mailboxes, retrieve documents via HTTP, generate random numbers, parse command-line options, write CGI programs, compress data, and many other tasks. Skimming through the Library Reference will give you an idea of what’s available.

  你应该浏览此手册，它包含关于标准库中类型，函数和模块的完整（虽然简炼）参考资料。 标准Python发布版包含了 大量 的附加示例代码。 有读取Unix mailboxes的模块，从HTTP中获取文档的模块，生成随机数的模块，解析命令行参数的模块，编写CGI程序的模块，压缩数据的模块，以及完成许多其他任务的模块。 浏览库参考你会了解都有哪些可用的模块。

• Installing Python Modules:

  Explains how to install external modules written by other Python users.

  解释如好安装其他Python用户编写的扩展模块。

• The Python Language Reference:

  A detailed explanation of Python’s syntax and semantics. It’s heavy reading, but is useful as a complete guide to the language itself.

  Python句法和语法的详细说明。 比较难以阅读，但作为一个完全指南对理解语言自身很有帮助。

More Python resources: 更多Python资源（PS：我就不翻译了～）

• http://www.python.org: The major Python Web site. It contains code, documentation, and pointers to Python-related pages around the Web. This Web site is mirrored in various places around the world, such as Europe, Japan, and Australia; a mirror may be faster than the main site, depending on your geographical location.
• http://docs.python.org: Fast access to Python’s documentation.
• http://pypi.python.org: The Python Package Index, previously also nicknamed the Cheese Shop, is an index of user-created Python modules that are available for download. Once you begin releasing code, you can register it here so that others can find it.
• http://aspn.activestate.com/ASPN/Python/Cookbook/: The Python Cookbook is a sizable collection of code examples, larger modules, and useful scripts. Particularly notable contributions are collected in a book also titled Python Cookbook (O’Reilly & Associates, ISBN 0-596-00797-3.)
• http://scipy.org: The Scientific Python project includes modules for fast array computations and manipulations plus a host of packages for such things as linear algebra, Fourier transforms, non-linear solvers, random number distributions, statistical analysis and the like.

For Python-related questions and problem reports, you can post to the newsgroup comp.lang.python, or send them to the mailing list at python-list@python.org. The newsgroup and mailing list are gatewayed, so messages posted to one will automatically be forwarded to the other. There are around 120 postings a day (with peaks up to several hundred), asking (and answering) questions, suggesting new features, and announcing new modules. Before posting, be sure to check the list of Frequently Asked Questions (also called the FAQ), or look for it in the Misc/ directory of the Python source distribution. Mailing list archives are available at http://mail.python.org/pipermail/. The FAQ answers many of the questions that come up again and again, and may already contain the solution for your problem.