13. What Now?
13. 接下来?
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?阅读本教程可能会增强您对使用Python的兴趣 - 您应该热衷于应用Python来解决您的实际问题。你应该去哪里了解更多?
This tutorial is part of Python's documentation set. Some other
documents in the set are:
• Python 标准库:
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.
您应该浏览本手册,该手册提供了有关标准库中的类型,功能和模块的完整(尽管简洁)参考资料。标准的Python发行版包含 很多 的附加代码。有些模块可以读取Unix邮箱,通过HTTP检索文档,生成随机数,解析命令行选项,编写CGI程序,压缩数据以及许多其他任务。浏览标准库参考可以了解更多可用的内容。
• 安装 Python 模块 解释了怎么安装由其他Python开发者编写的模块。
• Python 语言参考: Python的语法和语义的详细解释。尽管阅读完非常繁重, 但作为语言本身的完整指南是有用的。
More Python resources:
更多Python资源:
• https://www.python.org :主要的Python网站。它包含代码,文档以及指向 Web上与Python相关的页面的链接。该网站世界很多地区都有镜像,如欧洲, 日本和澳大利亚;镜像可能比主站点更快,具体取决于您的地理位置。
• https://docs.python.org :快速访问Python的文档。
• https://pypi.org: The Python Package Index,以前也被昵称为 CheeseShop [1],是可下载用户自制 Python 模块的索引。 当你要开始发布代码时,你可以在此处进行注册以便其他人能找到它。
• https://code.activestate.com/recipes/langs/python/ :PythonCookbook 是一个相当大的代码示例集,更多的模块和有用的脚本。特别值得注意的贡献 收集在一本名为Python Cookbook(O'Reilly&Associates,ISBN0-596-00797-3)的书中。
• http://www.pyvideo.org 从会议和用户组会议中收集与Python相关的视频的 链接。
• https://scipy.org :Ecientific Python项目包括用于快速阵列计算和操作 的模块,以及用于诸如线性代数,傅里叶变换,非线性求解器,随机数分布, 统计分析等的一系列包。
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 hundreds of postings a day, asking (and answering) questions, suggesting new features, and announcing new modules. Mailing list archives are available at https://mail.python.org/pipermail/.
对于与Python相关的问题和问题报告,您可以发布到新闻组comp.lang.python ,或者将它们发送到邮件列表python-list@python.org。新闻组和邮件列表是互通的,因此发布到一个地方将自动转发给另一个。每天有数百个帖子,询问(和回答)问题,建议新功能,以及宣布新模块。邮件列表档案可在 https://mail.python.org/pipermail/ 上找到。
Before posting, be sure to check the list of Frequently Asked Questions (also called the FAQ). The FAQ answers many of the questions that come up again and again, and may already contain the solution for your problem.
在发问之前,请务必查看以下列表 常见问题 (或简写为 FAQ)。常见问题包含了很多一次又一次问到的问题及答案,并且可能已经包含了您的问题的解决方案。
-[ Footnotes ]-
-[ 备注 ]-
[1] "Cheese Shop" is a Monty Python's sketch: a customer enters a cheese shop, but whatever cheese he asks for, the clerk says it's missing.
[1] “Cheese Shop”是 Monty Python 的一个短剧:一位顾客来到一家奶酪商店 ,但无论他要哪种奶酪,店员都说没有货。